Description:FIELD OF THE INVENTION

[0001] The present invention relates to a mobile device for rejuvenating diabetic patients that is developed to assist individuals suffering from diabetes by integrating health monitoring, personalized physical activity guidance, and nutrition regulation. More specifically, the device offers real-time feedback, physical support, and adaptive response to a diabetic user’s changing physiological condition during their daily health maintenance activities.

BACKGROUND OF THE INVENTION

[0002] Managing diabetes in daily life involves constant regulation of food intake, physical activity, and medical monitoring. Individuals commonly depend on paper-based diet charts, standalone exercise equipment, or irregular medical check-ups to manage their condition. These methods function independently and require the user to manually coordinate every aspect of their health routine. For instance, preparing meals aligned with dietary restrictions often requires manual ingredient selection and separate cooking arrangements. Similarly, maintaining proper exercise posture or timing becomes difficult in the absence of real-time correction or support, particularly when fatigue or improper movement occurs. Users often have no immediate way to know if their actions are safe or effective. Those with variable blood sugar levels must also make on-the-spot decisions without dependable monitoring tools. As a result, users face difficulty managing all tasks efficiently. There is a clear need for a device that continuously monitors, analyzes, and supports diabetic users in managing diet, exercise, and medical parameters in a synchronized manner.

[0003] Initially, diabetic management has relied on a range of standalone tools and practices to monitor glucose, manage insulin, regulate diet, and support physical activity. In early stages, management involved mere observation of symptoms and rudimentary some testing for glucose detection. These methods offered no quantitative or real-time information and provided no direct way to guide or adjust the user's actions based on their condition. So, people use continuous glucose monitors (CGMs), allowing near real-time blood glucose tracking using interstitial fluid readings. CGMs improved awareness of glycemic patterns but lacked automated integration with insulin, diet, or physical activity data. In parallel, mobile applications and smart fitness gadgets were used for recording steps, heart rate, or calories burned. However, these tools operated independently from medical or dietary modules, demanding the user to manually interpret, compare, and act on each parameter.

[0004] WO2015185158A1 discloses about an invention that includes a topical pharmaceutical composition for treatment of diabetes mellitus. The composition for treating diabetes, preferably formed of gel or cream, contains vitamin B3, Galega officinalis, Berberis Vulgaris or extracts of these. The present invention further proposes a device which is capable of applying at least one of a micro-current or ultrasound to human skin onto which the topical pharmaceutical composition is applied. Said device transmits acoustical energy from an ultrasonic generator, through the skin of a patient where the composition is applied, for the purpose of increasing the release of biofunctional compounds from a targeted organ. In particular the composition and device are used together on acupuncture and reflexological points of a human body to cause the release of insulin from the patient's pancreas to enhance the treatment of diabetes.

[0005] US7901625B2 discloses about an invention that includes a system for performing diabetes self-care using at least two devices in communication with one another, comprising a blood glucose monitoring device, including a receptacle for receiving an amount of blood sufficient for the monitoring device to run a blood glucose test sequence, processing circuitry for controlling a blood glucose test sequence and computing a blood glucose level, a power source for powering the blood glucose monitoring device, and a portable microprocessor-based device directly coupled with the blood glucose monitoring device for receiving blood glucose test results directly from the blood glucose monitoring device, including a microprocessor that runs according to program instructions stored in a memory for performing analysis of the blood glucose test results, and detecting a need for a change in insulin dosage, a memory for recording the recorded blood glucose test results, containing programming for establishing a data protocol that allows digital data signal processing, performing analysis of blood glucose, and storing time and date tagged glucose test results and calibration information.

[0006] Conventionally, many devices have been developed that are capable of rejuvenating diabetic patients. However, these devices lack the capability to deliver real-time assistance or optimize health outcomes, as they are unable to perform personalized analysis of vital parameters, user-defined goals, and medically prescribed routines. Additionally, these existing devices neither assess behavioral and physiological patterns nor compare them with predefined health targets or reference models, thereby failing to provide any adaptive correction in user actions.

[0007] In order to overcome the aforementioned drawbacks, there exists a need in the art to develop a device that enables real-time assistance and health optimization through personalized analysis of vital signs, user-defined goals, and medically prescribed routines. In addition, the developed device is also capable of providing adaptive correction in user actions by assessing behavioral and physiological patterns and comparing them with predefined health targets or reference models.

OBJECTS OF THE INVENTION

[0008] The principal object of the present invention is to overcome the disadvantages of the prior art.

[0009] An object of the present invention is to develop a device that is capable of assisting diabetic individuals in managing their condition through integrated analysis and adaptive adjustment of physical activity, diet, and health data.

[0010] Another object of the present invention is to develop a device that is capable of delivering real-time, personalized support to users by continuously evaluating their physiological condition and adjusting task performance accordingly.

[0011] Yet another object of the present invention is to develop a device that is capable of identifying user limitations or deviations from target activity and initiating corrective or supportive actions without requiring external intervention.

[0012] The foregoing and other objects, features, and advantages of the present invention will become readily apparent upon further review of the following detailed description of the preferred embodiment as illustrated in the accompanying drawings.

SUMMARY OF THE INVENTION

[0013] The present invention relates to a mobile device for rejuvenating diabetic patients that facilitate care for people with diabetes by using personal health readings to manage physical activity, food intake, and medical needs based on their current condition, in order to help maintain stable blood sugar levels and reduce health risks.

[0014] According to an embodiment of the present invention, a mobile device for rejuvenating diabetic patients comprising a housing coupled with a plurality of wheels, a data input module, integrated over the housing to input specifications related to a user’s profile, medical prescription and desired goal to be achieved, the data input module includes but not a touch interactive display panel and a digital scanner configured with OCR, the input module provides options to customize the food diet, an image sensing module located over the housing, having operative linkage with a processor, to identify the user by matching image characteristics with the user’s profile and regulate the wheels rotation to follow the user’s movement, a wearable band embodied with a sensing module to capture real time vital parameters of the user and wirelessly communicate to the processor, a pre-post workout food preparation module, configured to compare the user’s medical prescription, real time vital parameters and desired goal with a pre-stored database and prepare a food diet based on the comparison, the pre-post workout food preparation module comprises of a plurality of storage chambers, a two axis sliding arrangement, a camera, a conveyor belt, a processing chamber, the chambers are configured to store different ingredients, the two axis sliding arrangement is operated by the processor based on the output of the camera to pick and drop corresponding ingredient over the conveyor belt which transfers the ingredients to the processing chamber, the processing chamber is embodied with a heating plate integrated with a temperature sensor, the heating plate and temperature sensor is operatively coupled with the processor, the processor is configured with machine learning protocol to regulate the temperature corresponding to the ingredient type.

[0015] According to another embodiment of the present invention, the device further includes a motorized rolling shutter is installed over the housing, to open and allow access to the prepared food diet, a blood glucose monitor installed over the housing to obtain real time glucose readings of the user, based on which the processor synchronously updates the food diet, a smart glass is integrated over the housing, convertible in between screen and glass, to show different type of exercises to be performed based on the real time food diet, medical prescription and vital parameters, a linear translation module comprising a guide rail and linear actuator are coupled in between the housing and the smart glass to regulate positioning of the smart glass correlative to a height value of the user detected via the image sensing module, the processor is configured with machine learning protocols to analyze posture of the exercise and mimic the corrections in postures over the smart glass, a set of robotic arms mounted over the housing, having one or more clamps as end effectors to support the user while performing the exercise, in case the image sensing module identifies inability of the user in performing the exercise for a threshold time period.

[0016] While the invention has been described and shown with particular reference to the preferred embodiment, it will be apparent that variations might be possible that would fall within the scope of the present invention.

BRIEF DESCRIPTION OF THE DRAWINGS

[0017] These and other features, aspects, and advantages of the present invention will become better understood with regard to the following description, appended claims, and accompanying drawings where:
Figure 1 illustrates a perspective view of a mobile device for rejuvenating diabetic patients; and
Figure 2 illustrates an internal view of the device.

DETAILED DESCRIPTION OF THE INVENTION

[0018] The following description includes the preferred best mode of one embodiment of the present invention. It will be clear from this description of the invention that the invention is not limited to these illustrated embodiments but that the invention also includes a variety of modifications and embodiments thereto. Therefore, the present description should be seen as illustrative and not limiting. While the invention is susceptible to various modifications and alternative constructions, it should be understood, that there is no intention to limit the invention to the specific form disclosed, but, on the contrary, the invention is to cover all modifications, alternative constructions, and equivalents falling within the spirit and scope of the invention as defined in the claims.

[0019] In any embodiment described herein, the open-ended terms "comprising," "comprises,” and the like (which are synonymous with "including," "having” and "characterized by") may be replaced by the respective partially closed phrases "consisting essentially of," consists essentially of," and the like or the respective closed phrases "consisting of," "consists of, the like.

[0020] As used herein, the singular forms “a,” “an,” and “the” designate both the singular and the plural, unless expressly stated to designate the singular only.

[0021] The present invention relates to a mobile device for rejuvenating diabetic patients that enable management of diabetes by using real-time health data to control movement, eating patterns, and treatment steps tailored to the user’s condition, resulting in improved daily control of blood glucose levels and reduced chances of sudden spikes or drops.

[0022] Referring to Figure 1 and 2, a perspective view of a mobile device for rejuvenating diabetic patients and an internal view of the device are illustrated, respectively, comprising a housing 101 coupled with a plurality of wheels 102, a touch interactive display panel 103 and a digital scanner 104 integrated over the housing 101, an image sensing module 105 located over the housing 101, a wearable band 106 embodied with a FBG sensor 107 linked with the device, a blood glucose monitor 108 installed over the housing 101, a smart glass 109 is integrated over the housing 101.

[0023] Figure 1 and 2 further illustrates a set of robotic arms 110 mounted over the housing 101, having one or more clamps 111, a linear translation module comprising a guide rail 112 and linear actuator 113 are coupled in between the housing 101 and the smart glass 109, a motorized rolling shutter 114 is installed over the housing 101, a pre-post workout food preparation module comprises of a plurality of storage chambers 201, a two axis sliding arrangement 202, a gripper 203, a camera 204, a conveyor belt 205, a processing chamber 206, the processing chamber 206 is embodied with a heating plate 207 integrated with a temperature sensor 208.

[0024] The device disclosed herein comprising a housing 101 structurally supported and mobilized by a plurality of wheels 102, allowing movement across surfaces under controlled operation. A data input module is integrated over the housing 101 and configured to receive detailed specifications corresponding to the user’s personal profile, medical prescription, and intended health objective. The module enables input of identity-related information including name, age, and current photograph, along with goal-related parameters such as weight gain, weight loss, or health maintenance.

[0025] The data input module includes, but is not limited to, a touch-interactive display panel 103 to manually enter such details, and a digital scanner 104 configured with optical character recognition (OCR) to extract data from physical documents or prescription sheets. The received data is stored and accessed by the processor for subsequent operations.

[0026] The touch interactive display panel 103 as mentioned herein is typically an LCD (Liquid Crystal Display) screen that presents output in a visible form. The screen is equipped with touch-sensitive technology, allowing the user to interact directly with the display using their fingers. A touch controller IC (Integrated Circuit) is responsible for processing the analog signals generated when the user inputs details regarding user’s profile, medical prescription and desired goal to be achieved. A touch controller is typically connected to the microcontroller through various interfaces which may include but are not limited to SPI (Serial Peripheral Interface) or I2C (Inter-Integrated Circuit).

[0027] The digital scanner 104 is positioned over the housing 101 and operatively linked to the processor. When a user places a printed document or prescription within the scanning region, the scanner 104 captures a high-resolution image of the text. This image is processed using an embedded optical character recognition (OCR) module, which identifies, segments, and digitizes the textual content. The OCR protocol interprets characters, numbers, and formatting to convert the image into structured digital data. The processor then classifies and stores the extracted information as part of the user’s medical record or goal specifications.

[0028] An image sensing module 105 is positioned over the housing 101 and operatively linked to the processor. The image sensing module 105 is configured to perform user identification by capturing visual input and comparing extracted image characteristics with pre-stored reference data associated with the user’s profile. Upon successful identification, the processor interprets the real-time spatial position of the user and issues movement commands to regulate rotation of the wheels 102 such that the device follows the user’s motion. This enables synchronized movement and ensures the device remains within the user’s proximity during operation.

[0029] The image sensing module 105 continuously captures optical input and transmits the same to the processor. The processor extracts digital parameters corresponding to facial geometry, alignment vectors, and motion contours from the input stream. Extracted parameters are compared with user-specific identifiers pre-stored in internal memory. Upon identity confirmation, the module maintains real-time visual tracking and transmits continuous coordinate deltas. These deltas are interpreted into directional vectors, enabling the processor to execute corresponding locomotion commands. The image sensing module 105 remains in active scanning state during operation and operates synchronously with memory access and motion control cycles to ensure user-following precision.

[0030] Each wheel 102 is operatively connected to an individual drive motor governed by control signals from the processor. Upon receiving real-time spatial data from the image sensing module 105, the processor generates motor actuation sequences defining speed, rotation direction, and turning gradient. These signals are transmitted to the respective wheels 102 motors. Torque output is modulated through pulse-width modulation to achieve controlled acceleration. Wheels 102 transition between motion states based on positional thresholds and user proximity. The arrangement supports linear and angular motion, executing processor-dictated commands with precision across variable terrain.

[0031] A wearable band 106 is embodied with a fiber Bragg grating (FBG) sensor 107 and configured to be worn by the user for continuous physiological monitoring. The FBG sensor 107 is operatively integrated within the wearable band 106 and is configured to detect real-time vital parameters including, but not limited to, heart rate, body temperature, and respiration indicators based on strain and temperature variations. The captured parameters are wirelessly communicated to the processor, which utilizes the received data in conjunction with stored medical prescriptions and predefined health goals. The wearable band 106 functions in real time throughout user activity and remains synchronized with overall device operations.

[0032] The FBG sensor 107 operates by reflecting specific wavelengths of light from an optical fiber based on induced strain or temperature variations. When worn, physical deformation or thermal change alters the grating period and refractive index, causing a measurable shift in the reflected Bragg wavelength. A broadband light source transmits light through the fiber, and the reflected wavelength is detected and analyzed. The wavelength shift corresponds to a specific physiological parameter, such as pulse rate or body temperature. The sensor 107 outputs optical signals that are converted to digital values, which are then wirelessly communicated to the processor for further computational use.

[0033] A pre-post workout food preparation module is integrated within the device and is operatively configured to process and deliver a food diet personalized to the user. The module is designed to compare user-specific data, including the user’s medical prescription, real-time vital parameters, and desired goal, with a pre-stored dietary database. Based on this comparison, the module prepares a corresponding food diet that meets the user's physiological and health requirements. Also, the input module provides options to customize the food diet.

[0034] The module comprises a plurality of storage chambers 201, each preloaded with distinct edible ingredients, and a two-axis sliding arrangement 202 that is movably mounted to select and extract ingredients from the respective chambers 201 via robotic gripper 203. The sliding arrangement 202 is directed by the processor, which governs its operation based on the image feedback from an integrated camera 204. Once the required ingredient is identified and selected, the arrangement 202 translates the gripper 203 to hold the ingredient and drops the ingredient onto a conveyor belt 205, wherein the conveyor belt 205 is a rotating conveyor belt 205 that transports it to a processing chamber 206.

[0035] The processing chamber 206 houses a heating plate 207, which is integrated with a temperature sensor 208. Both the heating plate 207 and temperature sensor 208 are operatively linked to the processor. The processor, employing a machine learning protocol, dynamically regulates the heating plate 207 temperature corresponding to the specific ingredient type, thereby enabling customized food preparation. All functional elements within the module are interconnected and operate under the centralized control of the processor.

[0036] The camera 204 is mounted within the housing 101 at a vantage point to capture real-time images of the internal ingredient layout. The captured image data is transmitted to the processor, which utilizes it to detect ingredient levels, and verify chamber 201 content, and determine coordinates for the gripper 203 on the sliding arrangement 202. The processor applies image recognition to classify ingredients and confirm the accuracy of the selected chamber 201. Any deviation or misalignment triggers a correction sequence. The camera 204 continuously monitors operation and supplies visual verification data to assist with error detection and control feedback throughout ingredient selection.

[0037] The two-axis sliding arrangement 202 provide movement in two axes simultaneously. The two-axis sliding arrangement 202 are designed to control both horizontal (side-to-side) and vertical (up-and-down) movement of gripper 203. The motorized two-axis sliders use electric motors and precise gear assemblies to control the movement of the gripper 203. The two-axis slider comprises of a pair of sliding rails assembled perpendicular to each other and on actuation the gear assembly translates the gripper 203 to retrieve the ingredient and then traverses to the drop zone above the rotating conveyor belt 205.

[0038] The rotating conveyor belt 205 is configured as a motor-driven horizontal platform extending between the ingredient drop zone and the processing chamber 206. Once an ingredient is released by the gripper 203, the processor activates the belt 205 motor. The belt 205 begins rotation in a forward direction at a controlled speed to transport the ingredient toward the processing chamber 206. Position sensors along the belt 205 may detect the arrival of the item to initiate halt and transfer protocols. The belt 205 ensures non-spillage and uniform movement. After successful delivery of ingredient in the processing chamber 206, the conveyor resets its position for the next cycle.

[0039] The heating plate 207 which is fixed at the base of the processing chamber 206 and constructed using thermally conductive material. The processor energizes the heating plate 207 through an electric current. The intensity and duration of heating are determined based on the ingredient identity and required preparation parameters. Heat is distributed uniformly across the surface to ensure even cooking. The plate 207 operates in conjunction with the temperature sensor 208, which supplies real-time thermal feedback. The processor continuously adjusts power supply to the plate 207 to maintain target temperature levels. Post-cooking, the heating plate 207 is deactivated to prevent overheating.

[0040] The temperature sensor 208 is embedded within or adjacent to the heating plate 207 to monitor the thermal state of the processing chamber 206 during operation. Upon activation of the heating sequence, the sensor 208 measures the surface and ambient temperature and transmits this data to the processor. The processor references predefined thermal thresholds associated with each ingredient type and regulates heat input accordingly. If temperature deviates from the expected range, the processor adjusts current flow to the heating plate 207. The sensor 208 enables precise control of cooking conditions, preventing underheating or overheating.

[0041] In embodiment of the present invention the chambers 201 adapted to contain categorized food types such as proteins, carbohydrates, healthy fats, and fruits. Based on the user’s stored physiological data, current medical prescription, and updated personal goals—such as weight gain, weight loss, or weight maintenance—the processor dynamically determines the required combination of food ingredients and initiates their sequential dispensing.

[0042] For weight gain objectives, the processor computes a caloric surplus requirement in the range of approximately 300–500 kilocalories above the user’s daily maintenance level. The processor further ensures protein intake is maintained within 1.6–2.2 grams per kilogram of body weight to support muscle synthesis. In this configuration, the gripper 203 retrieves ingredients such as oats, eggs, yogurt, fruits, mixed nuts, and roasted vegetables including sweet potatoes, carrots, and broccoli from the respective chambers 201 in precise quantities. Suggested intake timings corresponding to optimal absorption and metabolic response are displayed in real time on a smart glass 109 integrated over the housing 101.

[0043] Concurrently, the device identifies suitable exercises tailored to the weight gain process, such as squats, bench presses, deadlifts, and overhead presses. These are displayed visually on the smart glass 109 to allow the user to observe and replicate them. The imaging module actively monitors the user’s movements during the exercise. If posture deviation or incorrect form is detected, the processor immediately generates a visual alert and overlays the correct posture model on the smart glass 109 for guidance and realignment.

[0044] In the event the user’s goal is updated to initiate a weight loss process, the machine learning protocol reconfigures the food preparation cycle to introduce a caloric deficit of approximately 300–500 kilocalories below the maintenance level. It maintains protein intake in the 1.6–2.2 grams per kilogram range to preserve lean muscle mass. In such scenarios, ingredients like apples, tofu, pumpkin seeds, almonds, walnuts, and tomatoes are dispensed as per calibrated nutritional targets. Exercises supportive of weight loss such as crunches, Russian twists, leg raises, and bicycle crunches are simultaneously recommended and presented on the smart glass 109. Real-time imaging ensures that corrective visual feedback is provided whenever improper form is identified.

[0045] For users intending to maintain body weight, the processor regulates the food dispensing cycle to ensure a balanced intake of protein, carbohydrates, and fats across meals. Portion sizes are continuously optimized to maintain energy balance, avoiding any caloric surplus or deficit. Ingredient selection and dispensing operations are performed dynamically, guided by user-specific maintenance profiles stored in the memory.

[0046] The protein sources such as eggs, cheese, beans, and chicken are stored in one of the chambers 201 arranged, which are accessed in response to user-specific dietary requirements. All chamber 201 contents are organized categorically, and dispensing actions are governed by real-time feedback from the processor based on updated health metrics and predefined dietary thresholds. The entire arrangement operates as a unified, intelligent platform offering responsive, personalized nutrition and physical guidance aligned with dynamic physiological conditions.

[0047] A motorized rolling shutter 114 is mounted over the housing 101 and is configured to selectively enclose and reveal the prepared food diet. The shutter 114 is operatively linked to the processor and is actuated based on completion signals from the food preparation module. Upon confirmation that the food diet is ready for access, the processor transmits an actuation command to the shutter 114 drive assembly. The shutter 114 retracts to expose the compartment for user access and subsequently closes after a predefined interval or upon user retrieval detection.

[0048] The motorized rolling shutter 114 consists of a flexible panel wound around a rotary shaft coupled with an electric motor. Upon receiving an actuation signal from the processor, the motor rotates the shaft to retract the shutter 114 upward, shifting it from a closed state to an open state. Position sensors track the shutter 114 movement to confirm completion of the opening sequence. After a designated time or event trigger, the processor reverses the motor rotation to lower the shutter 114, restoring its closed state.

[0049] A blood glucose monitors 108 is installed over the housing 101 and is operatively configured to obtain real-time glucose readings of the user. The blood glucose monitors 108 is communicatively linked with the processor and transmits measured glucose data immediately upon acquisition. The processor processes the received glucose values in conjunction with medical prescription data and user-specific goals to update or modify the food diet accordingly. The glucose monitors 108 operates continuously or at defined intervals under the control of the processor to maintain updated health status data for synchronized dietary adjustment.

[0050] The blood glucose monitors 108 operates by acquiring a biological sample from the user, typically through a non-invasive or minimally invasive sensor, and initiating an electrochemical analysis cycle. Upon sample acquisition, the sensor generates a raw signal correlated to glucose concentration. This signal is processed through an onboard converter and transmitted to the processor in digital form. The processor retrieves and stores the glucose value, compares it with defined threshold ranges, and immediately updates the food diet formulation. Sampling may occur at timed intervals or on demand, and the monitor 108 remains in active acquisition state accordingly.

[0051] The smart glass 109 disclosed above is operatively structured to transition between a transparent display state and a standard viewing surface. The smart glass 109 is adapted to visually present different types of exercises to the user, wherein such exercises are dynamically selected based on real-time food diet formulation, stored medical prescription, and detected physiological parameters. A linear translation module is functionally coupled between the housing 101 and the smart glass 109 and comprises a guide rail 112 and linear actuator 113. This module is operatively configured to regulate the vertical positioning of the smart glass 109 in correlation to a height value of the user as determined by the image sensing module 105.

[0052] The processor evaluates the user’s position through captured images and adjusts the glass 109 height accordingly for visual alignment. The processor is further configured with machine learning protocols capable of analyzing the user’s exercise posture by comparing real-time movement data with predefined ideal posture references. Based on deviations detected, corrective posture instructions are presented over the smart glass 109 in visual form.

[0053] The smart glass 109 operates in a dual-mode configuration, wherein it switches between transparent and opaque display states under electrical input. When activated by the processor, the display mode is engaged to project graphical content including exercise visuals. Display data is received from the processor and rendered on the surface using embedded visual output layers. The smart glass 109 remains synchronized with physiological input and food diet output, ensuring that the displayed exercise corresponds to the user’s current status. In passive state, the glass 109 retains transparency.

[0054] In an embodiment of the present invention the smart glass 109 is configured to present a curated sequence of physical exercises specifically selected to enhance insulin sensitivity and regulate blood glucose levels. The processor, based on user-specific health data and pre-programmed exercise protocols, selects a combination of cardiovascular and resistance training movements known to improve glucose uptake and metabolic efficiency. The selected exercises are visually demonstrated on the glass 109, allowing the user to follow along in real time. This ensures that each recommended exercise aligns with the user's current physiological condition and therapeutic objectives, thereby supporting targeted health improvements through guided physical activity.

[0055] The guide rail 112 is mounted vertically between the housing 101 and smart glass 109 and serves as a structural track for linear movement. The rail 112 constrains motion to a single axis and ensures mechanical alignment during translation. The rail 112 interfaces with the linear actuator 113 moving carriage, which houses bearings or slides that glide along the rail 112 surface with minimal friction. During operation, the actuator 113 propels the carriage along the rail 112 while the smart glass 109 is mounted to the carriage. The guide rail 112 ensures that vertical motion remains stable, repeatable, and free of angular deviation. The rail 112 operates passively without power input.

[0056] The linear actuator 113 receives control signals from the processor, which determine target height based on the user’s position detected via the image sensing module 105. Upon activation, the actuator 113 converts rotary motor motion into linear thrust using a threaded shaft. The actuator 113 displaces the smart glass 109 upward or downward along the guide rail 112. Once the desired position is reached, the actuator 113 halts and maintains holding force.

[0057] A set of robotic arms 110 is mounted over the housing 101 and configured to provide dynamic physical assistance to the user during exercise activity. Each robotic arm 110 is equipped with one or more clamps 111 as end effectors for stabilization or guided movement support. The arms 110 are operatively controlled by the processor and remain in standby until activation is required. The image sensing module 105 continuously monitors the user’s body posture and motion patterns. If an inability or failure to perform the exercise is detected for a threshold time duration, the processor activates one or more robotic arms 110 to engage and support the user in continuing or safely discontinuing the exercise. The entire actuation, positioning, and engagement of the robotic arms 110 are governed through processor commands in coordination with the image sensing output.

[0058] Each robotic arm 110 is constructed as a multi-jointed actuator 113 assembly with rotary and/or linear segments capable of articulated movement across defined spatial axes. Upon receiving an activation command from the processor, the embedded motor drives initiate positional adjustment based on the user’s current coordinates. The robotic arms 110 extend or reorient in real time, using positional data relayed from the image sensing module 105. The arms 110 may assist the user by applying counterforce, stabilizing limbs, or guiding movement.

[0059] Each clamp 111 is affixed at the distal end of a corresponding robotic arm 110 and is configured as a mechanical claw or adaptive enclosure. Upon processor activation, the clamps 111 opens or closes using motorized control based on user position data. The clamps 111 aligns with the user’s limb or grip area and securely fastens without exerting excessive pressure, allowing the robotic arm 110 to assist or stabilize movement. Sensors embedded in the clamps 111 detect grip force and user contact to ensure non-intrusive engagement. The clamps 111 remains active only during support necessity and disengages automatically once the posture normalizes.

[0060] In an embodiment of the present invention the processor is configured to manage and deliver timely reminders associated with the user’s prescribed medication schedule, including insulin injections and oral medications. These reminders are dynamically aligned with the user’s real-time physiological data, such as glucose levels and meal timings. The reminder notifications are generated visually on the integrated display panel 103 and concurrently issued as auditory prompts via an onboard speaker module to ensure multi-sensory delivery and user acknowledgment.

[0061] In another embodiment of the present invention, if the processor detects a deviation or fluctuation in health parameters indicating the potential requirement for glucose level assessment, it automatically initiates a blood glucose test using the integrated blood glucose monitor 108. This test is performed without requiring manual user input and is triggered based on defined thresholds or predictive analysis of physiological trends. The processor thereby enables real-time detection of abnormal glucose conditions and ensures responsive, autonomous health supervision. This enhances user safety through continuous monitoring and ensures timely medication adherence with reduced dependence on user memory or manual input.

[0062] In another embodiment of the present invention one or more load cells is installed beneath the heating plate 207 and configured to measure the weight of each food item dispensed onto or placed over the plate 207 surface. The weight values are transmitted to the processor for further processing. Concurrently, the camera 204 captures real-time images of the food items and identifies each item using an integrated recognition model trained on a predefined dataset. Based on both the recognized food type and its corresponding weight, the processor, executing a machine learning protocol, calculates the caloric value and nutritional content of the total intake with user-specific accuracy. This data is used to update dietary records and adjust future food preparation cycles to ensure alignment with the user’s medical prescription, caloric goals, and physiological feedback.

[0063] The load cell is mounted beneath the heating plate 207 and configured to convert applied mechanical force into an electrical signal. When a food item is placed on the heating plate 207, the load cell experiences strain due to the applied weight, which causes a corresponding change in its internal resistance. This resistance change generates a voltage signal proportional to the load. The analog signal is transmitted to an analog-to-digital converter and relayed to the processor. The processor interprets the signal as a weight value, which is combined with food identification data to derive caloric content.

[0064] In another embodiment of the present invention, the processor is configured to analyze historical and real-time glucose level trends obtained from the blood glucose monitor 108. Based on this analysis, and in correlation with the user’s meal schedule and prescribed medication timing, the processor generates optimal exercise timing recommendations. These recommendations are personalized to minimize the risk of hypoglycemia or hyperglycemia and are displayed on the integrated smart glass 109. By synchronizing exercise routines with metabolic response patterns, the processor enhances energy utilization efficiency, supports therapeutic goals, and maintains physiological stability throughout the user’s health management cycle.

[0065] Yet another embodiment of the present invention, the image sensing module 105 is embedded with an OpenCV-based facial detection module configured to detect and analyze the user’s facial expressions in real time during the course of an exercise routine. The module captures continuous visual input and isolates facial landmarks to identify expressions indicative of physical strain, discomfort, or fatigue. The expression data is relayed to the processor, which executes a machine learning protocol trained to correlate expression patterns with the type and intensity of the current exercise being performed. If a threshold level of discomfort or exertion is detected, the processor dynamically suggests a set of alternatives, lower-intensity exercises personalized to the user’s condition. The suggested alternatives are presented on the integrated smart glass 109, enabling the user to transition seamlessly to a more manageable and effective workout plan without requiring external intervention.

[0066] The present invention works in the best manner, where the housing 101 coupled with the plurality of wheels 102. The data input module, integrated over the housing 101 to input specifications related to the user’s profile, medical prescription and desired goal to be achieved. The data input module includes but not the touch interactive display panel 103 and the digital scanner 104 configured with OCR. The input module provides options to customize the food diet. The image sensing module 105 located over the housing 101, having operative linkage with the processor, to identify the user by matching image characteristics with the user’s profile and regulate the wheels 102 rotation to follow the user’s movement. The wearable band 106 embodied with the FBG sensor 107 to capture real time vital parameters of the user and wirelessly communicate to the processor. Thereafter the pre-post workout food preparation module, configured to compare the user’s medical prescription, real time vital parameters and desired goal with the pre-stored database and prepare the food diet based on the comparison. The pre-post workout food preparation module comprises of the plurality of storage chambers 201, the two-axis sliding arrangement 202, the camera 204, the conveyor belt 205, the processing chamber 206. The chambers 201 are configured to store different ingredients, the two-axis sliding arrangement 202 is operated by the processor based on the output of the camera 204 to pick and drop corresponding ingredient over the conveyor belt 205 which transfers the ingredients to the processing chamber 206. And the processing chamber 206 is embodied with the heating plate 207 integrated with the temperature sensor 208. The heating plate 207 and temperature sensor 208 is operatively coupled with the processor, where the processor is configured with machine learning protocol to regulate the temperature corresponding to the ingredient type. The motorized rolling shutter 114 open and allow access to the prepared food diet.

[0067] In continuation, the blood glucose monitors 108 obtains real time glucose readings of the user, based on which the processor synchronously updates the food diet. And the smart glass 109 which is convertible in between screen and glass 109, show different type of exercises to be performed based on the real time food diet, medical prescription and vital parameters. The linear translation module comprising the guide rail 112 and linear actuator 113 are coupled in between the housing 101 and the smart glass 109 to regulate positioning of the smart glass 109 correlative to the height value of the user detected via the image sensing module 105. Further the processor is configured with machine learning protocols to analyze posture of the exercise and mimic the corrections in postures over the smart glass 109. Furthermore, the set of robotic arms 110 having one or more clamps 111 to support the user while performing the exercise. Moreover, the robotic arms 110 are activated by the processor in case the image sensing module 105 identifies inability of the user in performing the exercise for the threshold time period.

[0068] Although the field of the invention has been described herein with limited reference to specific embodiments, this description is not meant to be construed in a limiting sense. Various modifications of the disclosed embodiments, as well as alternate embodiments of the invention, will become apparent to persons skilled in the art upon reference to the description of the invention. , Claims:1) A mobile device for rejuvenating diabetic patients, comprising:
i) a housing 101 coupled with a plurality of wheels 102;
ii) a data input module, integrated over the housing 101 to input specifications related to a user’s profile, medical prescription and desired goal to be achieved;
iii) an image sensing module 105 located over the housing 101, having operative linkage with a processor, to identify the user by matching image characteristics with the user’s profile and regulate the wheels 102 rotation to follow the user’s movement;
iv) a wearable band 106 embodied with a FBG sensor 107 to capture real time vital parameters of the user and wirelessly communicate to the processor;
v) a pre-post workout food preparation module, configured to compare the user’s medical prescription, real time vital parameters and desired goal with a pre-stored database and prepare a food diet based on the comparison;
vi) a blood glucose monitors 108 installed over the housing 101 to obtain real time glucose readings of the user, based on which the processor synchronously updates the food diet;
vii) a smart glass 109 is integrated over the housing 101, convertible in between screen and glass 109, to show different type of exercises to be performed based on the real time food diet, medical prescription and vital parameters; and
viii) a set of robotic arms 110 mounted over the housing 101, having one or more clamps 111 as end effectors to support the user while performing the exercise, the robotic arms 110 are activated by the processor in case the image sensing module 105 identifies inability of the user in performing the exercise for a threshold time period.

2) The device as claimed in claim 1, wherein said data input module includes but not a touch interactive display panel 103 and a digital scanner 104 configured with OCR.

3) The device as claimed in claim 1, wherein the input module provides options to customize the food diet.

4) The device as claimed in claim 1, wherein a linear translation module comprising a guide rail 112 and linear actuator 113 are coupled in between the housing 101 and the smart glass 109 to regulate positioning of the smart glass 109 correlative to a height value of the user detected via the image sensing module 105.

5) The device as claimed in claim 1, wherein the processor is configured with machine learning protocols to analyze posture of the exercise and mimic the corrections in postures over the smart glass 109.

6) The device as claimed in claim 1, wherein the pre-post workout food preparation module comprises of a plurality of storage chambers 201, a two-axis sliding arrangement 202, a camera 204, a conveyor belt 205, a processing chamber 206.

7) The device as claimed in claim 6, wherein the chambers 201 are configured to store different ingredients, the two-axis sliding arrangement 202 is operated by the processor based on the output of the camera 204 to pick and drop corresponding ingredient over the conveyor belt 205 which transfers the ingredients to the processing chamber 206.

8) The device as claimed in claim 6, wherein the processing chamber 206 is embodied with a heating plate 207 integrated with a temperature sensor 208.
9) The device as claimed in claim 8, wherein the heating plate 207 and temperature sensor 208 is operatively coupled with the processor, wherein the processor is configured with machine learning protocol to regulate the temperature corresponding to the ingredient type.

10) The device as claimed in claim 1, further comprising a motorized rolling shutter 114 is installed over the housing 101, operated by the processor to open and allow access to the prepared food diet.