Description:Field of the Invention
This invention relates to SHIFTSURE: Advanced Workplace Transition Prediction AND Analysis System
Background of the Invention
The job market of today is extremely dynamic and competitive. One of the greatest challenges for the employers is retaining their valuable employees (due to the unpredictability of the intentions of the employees to seek a change of the workplace). Reactive measures or subjective assessment are relied upon at present to identify the employees at risk of leaving. An innovative scientific method is hence the requirement of the hour to deal with the issue. This can be done through data analysis and predictive algorithms to forecast the likelihood of an employee seeking a workplace change. Employers shall be empowered with valuable insights and especially early warnings. Retention strategies may be therefore proactively implemented. It may also create a work environment to address the needs and preferences of the employees. A Workplace Transition Prediction system is hence expediently required. It shall analyze factors such as employee performance, job satisfaction, previous work history, and industry trends. This shall enable in predicting the intention of the employees. The employers shall be facilitated to retain their valuable talent pool which shall further foster long-term employee engagement and organizational success.
US7367808B1 A modularized system and method for interactively diagnosing and addressing workplace issues that can lead to employee turnover includes computer-delivered assessment and training modules, each directed to a particular aspect of improving employee retention by focusing on retention competencies. Some modules are intended for employee use; others, for supervisors. The employee sector modules are primarily administered for the purpose of data collection, the resulting data utilized to prescribe assessment and training modules to the supervisor. The supervisor sector modules include an assessment adapted to create an individualized learning plan, wherein questions assess understanding of the topic, and then a job simulation is presented, guiding the user through a simulation applying the concepts from the lesson, followed by a mastery assessment. After passing the mastery assessment, the user can view and print learning activities and key learning points for each program.
Research Gap: The proposed invention does not focus on diagnosing the workplace issues rather it focuses on predicting whether the employee is desirous of changing his/her workplace.
EP2889822A1 During an analysis technique, organization data for an organization (such as a company) and/or external data are used to calculate a performance metric and to determine retention risk for an employee. For example, the performance metric may be calculated based on revenue or productivity, and the retention risk may be determined based on an unemployment rate in a region that includes the organization or hiring trends in the region. The calculated performance metric and the determined retention risk are provided to the organization. In addition, a retention suggestion and an associated cost-benefit analysis are provided for the employee. This information may allow the organization to manage its employees, and to effectively apply limited resources to reduce retention expense and while increasing the likelihood of retaining employees.
Research Gap: The proposed invention does not focus on the reduction in retention expense of employees. It focuses on finding out the factors behind the mindset of employees of changing the workplace.
US9881279B2 In embodiments of the present invention improved capabilities are described for a human resource management platform that includes applications targeted to solve a variety of human resource and benefits administration management problems. Applications of the human resource management platform include business applications such as benefits administration that may provide a single solution for facilitating employee benefits management and organizational efficiencies through automation of benefit management functions, measurement of benefit provider effectiveness, and the like.
Research Gap: The proposed invention does not target the human resource management. It does not even talk about the administration management problems. The invention focuses on providing a solution to the employers against losing their star employees.
US10832365B2 A method managing wellness of employees is presented. A computer system receives a group of health factors for activities and group of preferences for activities of the employees. The computer system identifies a recommendation for an activity for a portion of the employees based on the group health factors, the group of preferences, and information for locations where recommended activities are to occur. The computer system then sends the recommendation for the activity to the portion of the employees.
Research Gap: Health may be a factor for an employee to decide to change the workplace. The proposed invention does not focus on it alone.

None of the prior art indicate above either alone or in combination with one another disclose what the present invention has disclosed. Present invention is SHIFTSURE: Advanced Workplace Transition Prediction AND Analysis System
SUMMARY OF THE INVENTION
This summary is provided to introduce a selection of concepts, in a simplified format, that are further described in the detailed description of the invention.
This summary is neither intended to identify key or essential inventive concepts of the invention and nor is it intended for determining the scope of the invention.
To further clarify advantages and features of the present invention, a more particular description of the invention will be rendered by reference to specific embodiments thereof, which is illustrated in the appended drawings. It is appreciated that these drawings depict only typical embodiments of the invention and are therefore not to be considered limiting of its scope. The invention will be described and explained with additional specificity and detail with the accompanying drawings.
An advanced Workplace Transition Prediction AND Analysis System comprises Biometric Sensors (101), Wearables Like Smart Watches (102), Facial Expression Analysis Camera (103), Server Racks (104), Cloud Computing Resources (105), Monitors (106), Dashboards (107), Other Display Devices (108), ShiftSure (10), ShiftSure (11), Shiftsure (N), Local Server (13), Main Server (14), Web App (15), Android/IO App (16), Computing Unit (20), Communication Modem (21), Neural Stick (22), Keyboard (23), Mouse (24), Power Supply (25), Motion Sensor (26), Mic Array (27), Camera (28), Speaker (29).
The Data collection is done by the use of wearable devices which have sensors for measuring stress levels with the help of body temperature and heart beat rate; wherein said wearable devices also having GPS trackers to monitor social interactions within the workplace.
The Data is collected on employee activity level, stress levels of the employee and social interactions within the workplace (at what time and how many times an employee visits certain places and what is the stress level of an employee at those different visits).
ShiftSure is an innovative workplace transition prediction and analysis system designed to assist employers in proactively identifying employees at risk of leaving their current workplace. By leveraging data analysis and predictive algorithms, ShiftSure will provide valuable insights and early warnings to employers, enabling them to implement effective retention strategies and create a work environment that addresses the needs and preferences of their employees. This patent idea aims to empower employers with a scientific method to forecast the likelihood of an employee seeking a workplace change, thereby fostering long-term employee engagement and organizational success.
The main objective of ShiftSure is to provide employers with a scientific method to predict the intention of employees to seek a workplace change. By analyzing various factors such as employee performance, job satisfaction, previous work history, and industry trends, ShiftSure aims to forecast the likelihood of an employee leaving the organization.
Components of ShiftSure
ShiftSure shall work in three stages i.e.-
a. Data collection: Data collection shall be done by the use of wearable devices which have sensors for measuring stress levels with the help of body temperature and heart beat rate etc. These wearable devices shall also have GPS trackers to monitor social interactions within the workplace. Data shall hence be collected on employee activity level, stress levels of the employee and social interactions within the workplace (at what time and how many times an employee visits certain places and what is the stress level of an employee at those different visits).
b. Data storage and processing: Data storage shall be done by the use of server racks, cloud computing resources and other specialized hardware for data analytics.
c. Visualization and reporting: Monitors, dashboards, and other such display devices shall be used for the visualization of the data collected and processed.
Fig: 1. Offers installation of SHIFTSURE devices at different departmental levels of an institution. It comprises Biometric Sensors, Wearable devices, Facial recognition cameras for data collection. Server Racks, Cloud Computing units, and other Specialized Hardware which will be used for data storage and processing. Visualization of the data will be done through Monitors, Dashboards and other Display devices. The SHIFTSURE devices installed shall be accessed by the local servers which will be connected to the main server.
Fig. 1.1 consists of SHIFTSURE devices (10, 11, and N) that will be installed at different departmental levels, the information gathered from each device will be transferred to the Local Server (13), and further it will transferred to the Main Server (14). The information gathered by the Main Server will be accessible through a Web App (15) and Android/IO App (16) by the end user for analysis of the employees’ data collected.
The ShiftSure device may be further explained with the help of the fig: 1.2. It consists of a Neural Stick (22) embedded with Face Recognition sensor, Expression Detection sensor, Posture Detection sensors and Machine Learning algorithm perform the analysis of the fed information. Further, Keyboard (23), and Mouse (24) will act as an input and navigation device, Motion Sensor (26) to detect the posture, Mic. Array and Camera (28) and Speaker (29) will act as two-way communication unit for conversation based on the information provided to it by the computing unit. The Communication Modem (21) is connected to Computing Unit (20) for captured data storage, the entire system is connected to a Power Supply unit (25).

BRIEF DESCRIPTION OF THE DRAWINGS
The illustrated embodiments of the subject matter will be understood by reference to the drawings, wherein like parts are designated by like numerals throughout. The following description is intended only by way of example, and simply illustrates certain selected embodiments of devices, systems, and methods that are consistent with the subject matter as claimed herein, wherein:
Fig: 1. Generalized Architecture of SHIFTSURE
Fig: 1.1 SHIFTSURE Installations at different departmental level
Fig: 1.2 Detailed Architecture of SHIFTSURE Device
The figures depict embodiments of the present subject matter for the purposes of illustration only. A person skilled in the art will easily recognize from the following description that alternative embodiments of the structures and methods illustrated herein may be employed without departing from the principles of the disclosure described herein.

DETAILED DESCRIPTION OF THE INVENTION
The detailed description of various exemplary embodiments of the disclosure is described herein with reference to the accompanying drawings. It should be noted that the embodiments are described herein in such details as to clearly communicate the disclosure. However, the amount of details provided herein is not intended to limit the anticipated variations of embodiments; on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the scope of the present disclosure as defined by the appended claims.
It is also to be understood that various arrangements may be devised that, although not explicitly described or shown herein, embody the principles of the present disclosure. Moreover, all statements herein reciting principles, aspects, and embodiments of the present disclosure, as well as specific examples, are intended to encompass equivalents thereof.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments. As used herein, the singular forms “a",” “an” and “the” are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms “comprises,” “comprising,” “includes” and/or “including,” when used herein, specify the presence of stated features, integers, steps, operations, elements and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and/or groups thereof.
It should also be noted that in some alternative implementations, the functions/acts noted may occur out of the order noted in the figures. For example, two figures shown in succession may, in fact, be executed concurrently or may sometimes be executed in the reverse order, depending upon the functionality/acts involved.
In addition, the descriptions of "first", "second", “third”, and the like in the present invention are used for the purpose of description only, and are not to be construed as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. Thus, features defining "first" and "second" may include at least one of the features, either explicitly or implicitly.
Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which example embodiments belong. It will be further understood that terms, e.g., those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
These and other advantages of the present subject matter would be described in greater detail with reference to the following figures. It should be noted that the description merely illustrates the principles of the present subject matter. It will thus be appreciated that those skilled in the art will be able to devise various arrangements that, although not explicitly described herein, embody the principles of the present subject matter and are included within its scope.
ShiftSure is an innovative workplace transition prediction and analysis system designed to assist employers in proactively identifying employees at risk of leaving their current workplace. By leveraging data analysis and predictive algorithms, ShiftSure will provide valuable insights and early warnings to employers, enabling them to implement effective retention strategies and create a work environment that addresses the needs and preferences of their employees. This patent idea aims to empower employers with a scientific method to forecast the likelihood of an employee seeking a workplace change, thereby fostering long-term employee engagement and organizational success.
The main objective of ShiftSure is to provide employers with a scientific method to predict the intention of employees to seek a workplace change. By analyzing various factors such as employee performance, job satisfaction, previous work history, and industry trends, ShiftSure aims to forecast the likelihood of an employee leaving the organization.
Components of ShiftSure
ShiftSure shall work in three stages i.e.-
a. Data collection: Data collection shall be done by the use of wearable devices which have sensors for measuring stress levels with the help of body temperature and heart beat rate etc. These wearable devices shall also have GPS trackers to monitor social interactions within the workplace. Data shall hence be collected on employee activity level, stress levels of the employee and social interactions within the workplace (at what time and how many times an employee visits certain places and what is the stress level of an employee at those different visits).
b. Data storage and processing: Data storage shall be done by the use of server racks, cloud computing resources and other specialized hardware for data analytics.
c. Visualization and reporting: Monitors, dashboards, and other such display devices shall be used for the visualization of the data collected and processed.
Fig: 1. Offers installation of SHIFTSURE devices at different departmental levels of an institution. It comprises Biometric Sensors, Wearable devices, Facial recognition cameras for data collection. Server Racks, Cloud Computing units, and other Specialized Hardware which will be used for data storage and processing. Visualization of the data will be done through Monitors, Dashboards and other Display devices. The SHIFTSURE devices installed shall be accessed by the local servers which will be connected to the main server.
Fig. 1.1 consists of SHIFTSURE devices (10, 11, and N) that will be installed at different departmental levels, the information gathered from each device will be transferred to the Local Server (13), and further it will transferred to the Main Server (14). The information gathered by the Main Server will be accessible through a Web App (15) and Android/IO App (16) by the end user for analysis of the employees’ data collected.
The ShiftSure device may be further explained with the help of the fig: 1.2. It consists of a Neural Stick (22) embedded with Face Recognition sensor, Expression Detection sensor, Posture Detection sensors and Machine Learning algorithm perform the analysis of the fed information. Further, Keyboard (23), and Mouse (24) will act as an input and navigation device, Motion Sensor (26) to detect the posture, Mic. Array and Camera (28) and Speaker (29) will act as two-way communication unit for conversation based on the information provided to it by the computing unit. The Communication Modem (21) is connected to Computing Unit (20) for captured data storage, the entire system is connected to a Power Supply unit (25).
ADVANTAGES
ShiftSure shall offer several benefits to employers:
1. Early Warning: Employers will be empowered to identify the employees at the risk of leaving with the use of ShiftSure. They may hence take proactive measures to retain valuable talent.
2. Data-Driven Decision Making: Valuable insights shall be provided with the use of ShiftSure by leveraging data analysis and predictive algorithms. Shiftsure shall reduce reliance on subjective assessments.
3. Employee Engagement and Organizational Success: ShiftSure will create a work environment that will foster employee engagement and satisfaction as the needs and preferences of employees are addressed proactively. This, hence, shall promote long-term employee loyalty and contributes to overall organizational success.
4.The futuristic employee retention system focuses on employees’ qualitative assessment using cutting edge technologies.
5. Exploring the conscience of the employees and providing timely remedial reasons for the tendency to change the workplace shall be evaluated with the help of the invention.
6. The tendency of the employee towards changing the workplace shall be able to be assessed with the help of cutting-edge technologies.
7. Employers shall hence be able to proactively work towards retention of their valuable employees.
8. The invention is beneficial for the employer (facilitates retention) as well as the employee (provides solution to employee issue by proactively engaging the employer).
, Claims:We Claim:
1. An advanced Workplace Transition Prediction AND Analysis System comprises Biometric Sensors (101), Wearables Like Smart Watches (102), Facial Expression Analysis Camera (103), Server Racks (104), Cloud Computing Resources (105), Monitors (106), Dashboards (107), Other Display Devices (108), ShiftSure (10), ShiftSure (11), Shiftsure (N), Local Server (13), Main Server (14), Web App (15), Android/IO App (16), Computing Unit (20), Communication Modem (21), Neural Stick (22), Keyboard (23), Mouse (24), Power Supply (25), Motion Sensor (26), Mic Array (27), Camera (28), Speaker (29).
2. The system as claimed in claim 1, wherein Data collection is done by the use of wearable devices which have sensors for measuring stress levels with the help of body temperature and heart beat rate; wherein said wearable devices also having GPS trackers to monitor social interactions within the workplace.
3. The system as claimed in claim 1, wherein Data is collected on employee activity level, stress levels of the employee and social interactions within the workplace (at what time and how many times an employee visits certain places and what is the stress level of an employee at those different visits).
4. The system as claimed in claim 1, wherein Data storage is done by the use of server racks, cloud computing resources and other specialized hardware for data analytics; and Monitors, dashboards, and other such display devices are used for the visualization of the data collected and processed.
5. The system as claimed in claim 1, wherein Biometric Sensors, Wearable devices, Facial recognition cameras for data collection. Server Racks, Cloud Computing units, and other Specialized Hardware which are used for data storage and processing.
6. The system as claimed in claim 1, wherein Visualization of the data is done through Monitors, Dashboards and other Display devices; wherein the system is installed accessed by the local servers which will be connected to the main server.
7. The system as claimed in claim 1, wherein system devices (10, 11, and N) that is installed at different departmental levels, the information gathered from each device is transferred to the Local Server (13), and further it will transferred to the Main Server (14); and the information gathered by the Main Server will be accessible through a Web App (15) and Android/IO App (16) by the end user for analysis of the employees’ data collected.
8. The system as claimed in claim 1, wherein the system is further consists of a Neural Stick (22) embedded with Face Recognition sensor, Expression Detection sensor, Posture Detection sensors and Machine Learning algorithm perform the analysis of the fed information.
9. The system as claimed in claim 1, wherein Keyboard (23), and Mouse (24) act as an input and navigation device, Motion Sensor (26) to detect the posture, Mic. Array and Camera (28) and Speaker (29) act as two-way communication unit for conversation based on the information provided to it by the computing unit; and the Communication Modem (21) is connected to Computing Unit (20) for captured data storage, the entire system is connected to a Power Supply unit (25).

10. The system as claimed in claim 1, wherein Edge based technology is using Mic. Array and Speakers for communication; and IoT driven system for data collection, and storage on cloud server; and On board analysis and interpretation of the data using AI driven technology.