2. The mobile-based digital system (10) as claimed in claim 1, wherein the interactive assessment module comprises the domain-specific assessment module (18), which is configured to evaluate fine motor skills by capturing user-generated input via the graphical input module (19), including at least one of tracing, drawing, or character formation.

3. The mobile based digital system (10) as claimed in claim 1, wherein the data analysis module (20) is further configured to integrate real-time analytics to enable immediate generation of feedback by the feedback and recommendation module (22).

4. The mobile based digital system (10) as claimed in claim 1, wherein the system is configured to enable exporting of assessment reports (55, 58) for review by parents, educators, and child development professionals, including pediatricians, special educators, and psychologists.

5. A mobile based digital method (30) for assessing school readiness in preschool children, the method characterized by the steps of: (a) receiving child demographic data, including name, age, height, weight, mobile number, and email ID, and obtaining consent via a registration module (70, 33); (b) presenting domain-specific assessment tasks (34) using the domain-specific assessment module (18), the tasks selected from cognitive, social-emotional, physical, language and literacy, and mathematical developmental domains (17); (c) capturing and processing child responses (35) using the data analysis module (20); (d) applying a scoring algorithm (36) to classify the child into one or more readiness levels; (e) generating and displaying feedback and recommendations for developmental improvement via the feedback and recommendation module (22, 23, 37); (f) storing assessment results in a database (38) configured for longitudinal tracking, retrieval, and analysis; and (g) optionally, utilizing the graphical input module (19) to capture fine motor skill responses, including at least one of line steadiness, pressure consistency, or boundary accuracy.

6. The mobile-based digital method as claimed in claim 5, wherein presenting the assessment tasks comprises delivering multimedia-based activities including text prompts (91), images (94), and audio instructions (92) corresponding to one or more developmental domains (17) via the domain-specific assessment module (18).

7. The mobile-based digital method as claimed in claim 5, wherein assessing fine motor skills comprises utilizing the graphical input module (19) to capture and analyze at least one of line steadiness, pressure consistency, and boundary accuracy of user-generated graphical inputs, including shapes or characters, as part of one or more developmental domains (17).

8. The mobile-based digital method as claimed in claim 5, wherein generating feedback comprises categorizing the child’s readiness into levels including emerging, developing, and proficient (112), and providing domain-specific learning recommendations (113) via the recommendation module (37) based on the assessed developmental domains (17).

9. The mobile-based digital method as claimed in claim 5, wherein storing assessment data is configured to enable exporting (55) and printing (58) of reports for review by parents, educators, and child development professionals, to support early intervention and developmental planning.

10. A non-transitory computer-readable storage medium (31) storing instructions, which when executed by one or more processors, causes the processor(s) to perform a method for assessing school readiness in preschool children, the method comprising: (a) receiving child demographic and developmental data via the user interface module (16, 33); (b) presenting domain-specific assessment tasks (34) across cognitive, social-emotional, physical, language and literacy, and mathematical developmental domains (17) using the domain-specific assessment module (18); (c) capturing and processing child responses using the data analysis module (20, 35); (d) applying a scoring algorithm to classify the child into readiness levels including emerging, developing, and proficient (36); (e) generating personalized feedback and recommendations using the feedback and recommendation module (22, 23, 37); (f) storing assessment results in a database (38) for longitudinal tracking and reporting; and (g) optionally utilizing the graphical input module (19) to evaluate fine motor skills based on user-generated input.

11. The computer-readable medium as claimed in claim 10, wherein the stored instructions enable the processor(s) to assess fine motor skills using the graphical input module (19), the module configured to evaluate at least one of line steadiness, pressure consistency, and replication accuracy of user-generated shapes, characters, or figures.

12. The computer-readable medium as claimed in claim 10, wherein the stored instructions cause the processor(s) to generate exportable assessment reports (55) for review by parents, educators, and child development professionals.

13. The computer-readable medium as claimed in claim 10, wherein the stored instructions cause the processor(s) to generate feedback in real-time (37, 65) using predefined rules via the feedback and recommendation module (22).

DESC:4. FIELD OF INVENTION
The present invention relates to a mobile-based digital system and method for assessing the school readiness and developmental skills of preschool children. More particularly, the invention provides a computer-implemented framework that evaluates multiple developmental domains, including cognitive, language, motor, social, and emotional abilities, and generates actionable insights for parents and educators. The invention enables a reliable and objective digital assessment of a child’s readiness and skill levels. Thus, the present invention helps evaluate the preparedness of preschool children to undertake formal schooling based on a reliable, digital and structured framework.
BACKGROUND OF THE INVENTION
The assessment of school readiness skills in children under 6 years of age is often inadequate, with existing methods primarily focusing on cognitive skills. These traditional approaches, typically involving paper-based tests or subjective teacher evaluations, are time-consuming, lack standardization, and are susceptible to biases. There's a clear need for a more reliable, scalable, and objective tool that can be utilized by both educators and parents.
Patent EP3813041A1 focuses on enhancing cognition through a combination of cognitive and physical tasks. It integrates adaptive difficulty adjustment based on user performance and is primarily used for treating cognitive disorders such as ADHD, PTSD, and dementia. While it presents an interactive cognitive training approach, it is not specifically designed for preschool children and lacks a structured framework for assessing school readiness across multiple developmental domains. Furthermore, it is more treatment-oriented rather than a real-time assessment tool for tracking and guiding early childhood development.
For instance, Patent US11763697B2 introduces a mobile-based cognitive skill assessment system that enables tracking and analysis of learning progress. While this system is effective in cognitive assessment, it lacks a comprehensive approach that includes social-emotional, physical, and language development, all of which are crucial for school readiness. Additionally, its feedback mechanism is delayed, preventing real-time intervention, and it is primarily designed for educators rather than actively involving parents in the process.
Similarly, Patent CN110998696B presents a data-driven skill training system that utilizes sensor-based tracking for evaluating movement-related competencies. While this patent emphasizes motor skill assessment, it is heavily reliant on hardware sensors, making it expensive and less accessible for general preschool assessments. Additionally, it does not provide a structured school readiness evaluation framework that covers cognitive, social, and emotional competencies, which are essential for early childhood education.
Another notable patent, US11890506B2, focuses on adaptive learning technologies that personalize skill-building exercises based on performance. However, this system is primarily designed for older children and adults, lacking the necessary developmental structure for preschoolers and omitting parental engagement, which is a critical factor in early learning.
Furthermore, Patent US11676506B1 introduces a mobile assessment tool for literacy and language development with interactive audio-visual elements. While it effectively supports early reading and writing skills, it ignores other fundamental aspects of school readiness, such as social-emotional growth, physical coordination, and problem-solving abilities. Additionally, the system does not provide adaptive assessment mechanisms, which limits its ability to personalize learning experiences for young children. Meanwhile, Patent F2-202541013177 describes a human-tracking bot using sensor fusion, which is primarily focused on robotic automation and movement tracking. This system, while innovative in its field, is not applicable to cognitive or school readiness assessments and does not integrate developmental psychology principles necessary for early childhood education.
These prior art references reveal drawbacks such as overemphasis on cognitive or single-skill domains, lack of comprehensive, standardized frameworks for school readiness, delayed or limited feedback, hindering timely interventions, high dependency on costly or specialized hardware, limited involvement of parents despite their critical role in early childhood learning or inadequacy for preschool-aged children due to age or target mismatch.

Existing assessment tools fail to offer a comprehensive evaluation of a child's cognitive, social-emotional, physical, mathematical, and language and literacy skills, all of which are essential for determining school readiness.
Accordingly, there is a strong need for a comprehensive, mobile-based digital assessment system and method, supported by a non-transitory computer-readable medium, that evaluates multiple developmental domains, adapts to a child’s performance in real time, and generates actionable insights for both educators and parents.
3. Object of the Invention
The principal object of this invention is to provide a mobile-based digital system and method, supported by a non-transitory computer-readable medium, for comprehensive assessment of preschool children’s readiness across multiple developmental domains including cognitive, language and literacy, mathematical, socio-emotional, and physical abilities
Another object of this invention is to deliver real-time, adaptive, and standardized evaluations that minimize subjectivity, enable immediate feedback, and support timely intervention in a child’s developmental journey.
Another object of this invention is to ensure accessibility and ease of use through an interactive, cost-effective, and user-friendly mobile platform that eliminates dependence on specialized hardware
A further object of this invention is to promote active involvement of parents and educators by offering actionable insights, longitudinal progress tracking, and personalized recommendations for supporting school readiness.
Summary of the Invention
An aspect of the present invention is a mobile-based digital system (10) for evaluating school readiness in preschool children. The system comprises one or more communication interfaces configured for data transmission and retrieval, the interfaces including a modem (11) providing internet connectivity, a cloud-based server (12) configured for secure storage, remote access, and synchronization of assessment records; and a network access point (13) configured to extend wireless coverage and support multiple device connections.
The system is provided with a computing or mobile device (14, 15) operable to execute instructions stored on a non-transitory computer-readable medium; a user interface module (16) configured to provide child-friendly interaction; a developmental skill domain module (17) configured to present multiple developmental domains including language, literacy, mathematics, physical, social-emotional, and cognitive skills; an interactive assessment and multimedia module (18) configured to deliver multimedia-based tasks comprising text prompts, image-based exercises, and audio-supported activities; a graphical input module (19) configured to capture fine motor skill responses including at least one of tracing, drawing, and character formation; a data analysis module (20) configured to process child responses and monitor assessment progress; a scoring module (21) configured to assign points and categorize readiness into emerging, developing, or proficient levels; a feedback and recommendation module (22) configured to provide real-time developmental feedback and tailored guidance for parents and educators; a report generation module (65) configured to generate and optionally print reports (23) of assessment outcomes; a display results module (66) configured to present readiness outcomes, performance insights, and graphical representations of strengths and weaknesses; and a non-transitory computer-readable storage medium (31, 42) configured to store instructions and developmental data.
The computing or mobile device (14, 15) enables the system to register and store child demographic details (70) and conduct assessments across the developmental skill domains (17), generating and presenting interactive tasks (34). The system analyses and score responses using an adaptive scoring model (36), generating real-time readiness outcomes categorizing the child into emerging, developing, or proficient levels (37). It provides tailored developmental recommendations for parents and educators (37) enabling longitudinal tracking of school readiness outcomes (38).

Another aspect of the present invention is a mobile based digital method (30) for assessing school readiness in preschool children, the method characterized by the steps of (a) receiving child demographic data, including name, age, height, weight, mobile number, and email ID, and obtaining consent via a registration module (70, 33); (b) presenting domain-specific assessment tasks (34) using the domain-specific assessment module (18), the tasks selected from cognitive, social-emotional, physical, language and literacy, and mathematical developmental domains (17); (c) capturing and processing child responses (35) using the data analysis module (20); (d) applying a scoring algorithm (36) to classify the child into one or more readiness levels; (e) generating and displaying feedback and recommendations for developmental improvement via the feedback and recommendation module (22, 23, 37); (f) storing assessment results in a database (38) configured for longitudinal tracking, retrieval, and analysis; and (g) optionally, utilizing the graphical input module (19) to capture fine motor skill responses, including at least one of line steadiness, pressure consistency, or boundary accuracy.

A further aspect of the present invention is a non-transitory computer-readable storage medium (31) storing instructions, which when executed by one or more processors, causes the processor(s) to perform a method for assessing school readiness in preschool children, the method comprising (a) receiving child demographic and developmental data via the user interface module (16, 33); (b) presenting domain-specific assessment tasks (34) across cognitive, social-emotional, physical, language and literacy, and mathematical developmental domains (17) using the domain-specific assessment module (18); (c) capturing and processing child responses using the data analysis module (20, 35); (d) applying a scoring algorithm to classify the child into readiness levels including emerging, developing, and proficient (36); (e) generating personalized feedback and recommendations using the feedback and recommendation module (22, 23, 37); (f) storing assessment results in a database (38) for longitudinal tracking and reporting; and (g) optionally utilizing the graphical input module (19) to evaluate fine motor skills based on user-generated input.

4. BRIEF DESCRIPTION OF DRAWINGS
Figure 1 is a block diagram illustrating the overall system architecture of the mobile-based digital skill assessment system (10), showing interconnections between hardware components : mobile device (14), computing device (15), modem (11), network access point (13), cloud-based server (12); core software modules : user interface module (16), developmental skill module (17), domain-specific assessment module (18), graphical input module (19), data processing module (20)); and output systems: data analysis (20), feedback and reporting system (22), storing & export of results (38).
Figure 2 is a flowchart depicting the method (30) stored as instructions on a non-transitory computer-readable medium (31, 42). When executed by one or more processors, the system performs sequential steps: receiving child demographic data (33), presenting domain-specific assessment activities (34), capturing and processing responses (35) through the Domain-Specific Assessment Module (18) or Graphical Input Module (19), applying the Scoring Algorithm (36), generating Feedback (37, 65), and storing results in a Longitudinal Database (47, 51) for tracking.
Figure 3 illustrates a structural diagram showing interaction between the Mobile Device (14), its Non-Transitory Storage (42) containing instructions, and the sequential functional modules: user interface module (16), domain-specific assessment module (18), graphical input module (19), data processing module (20), feedback module (45), and reporting module (46). these modules work together to process input data and generate stored outputs in the longitudinal database (51).
Figure 4 illustrates a detailed process diagram of the reporting and export functionality, illustrating how data is retrieved from the Longitudinal Database (47, 51), compiled by the reporting engine (52) into an exportable report (54), formatted using export modalities (55) like email transmission (56), cloud storage upload (57) or direct printing (58)), and made available to external professionals such as paediatricians, special educators, or psychologists.
Figure 5 illustrates a high-level flowchart of the assessment process, detailing the steps: user registration and submission of child demographic data (33), selection of developmental domains through the developmental skill module (17), delivery of activities by the domain-specific assessment module (18), optional fine motor evaluation using the graphical input module (19), collection and analysis of responses (62, 63, 64), feedback generation (65), result display (66), and conclusion of process (67).
Figure 6 illustrates the initial user registration/login screen, displaying data entry fields for entering child demographic details (33), including name (71), age (72), height in cm (73) weight in Kg (74), mobile number (75), and email ID (76).
Figure 7 illustrates the main developmental domain selection screen presented after login, displaying the Developmental Skill Module (17). The screen provides five selectable developmental domains of each represented as a distinct interactive section as language and literacy domain (82), mathematical domain (83), physical development domain (84), socio-emotional development domain (85), cognitive development domain (86).
Figure 8 illustrates a representative multimedia assessment screen within the Domain-Specific Assessment Module (18), showcasing multimodal response formats. The screen integrates text prompt/question text (91), image-based visual aid (94), audio instruction icon (92), and answer options (93) for multiple-choice selection. This figure demonstrates the system’s ability to deliver interactive, multimedia-based assessment activities (34), ensuring engagement and comprehensive evaluation of developmental skills.
Figure 9 illustrates a physical development assessment task screen, instructing the child to complete motor skill activities using the Graphical Input Module (19), enabling evaluation of fine motor functions such as tracing, drawing, and pattern completion. The screen then prompts the user to input whether the child was able to complete the task successfully via a yes/no (A/B) multiple-choice question.
Figure 10 illustrates the results summary screen, displaying total score obtained (111), readiness category (112) classified as Emerging, Developing, or Proficient a description box (113) providing a detailed narrative of the child’s performance, including current readiness status, identified strengths and weaknesses, suggested future skills to develop, and tailored recommendations or remedial activities for improvement.

TABLE-1 REFERENCE NUMERALS
Reference numerals Component Reference numerals Component
11 Modem 56 Email Transmission
12 Cloud based server 57 Cloud Storage Upload
13 Network Access Point 58 Direct Printing
14 Mobile Device 61 Start Assessment
15 Computing device 62 Interactive Activities
16 User Interface (UI) module 63 Data Collection
17 Developmental skill domain module 64 Data Analysis
18 Domain specific assessment module 65 Generate Feedback
19 Graphic input module 66 Display Results
20 Data processing module 67 End Process
21 Scoring module 71 Name (input field)
22 Feedback and recommendation module 72 Age
23 Report generation module 73 Height in cm
31 Non-transitory computer readable storage medium 74 Weight in Kg
32 Input 75 Mobile number
33 Child demographic data 76 Email id
34 Assessment activities 77 Agree to Terms checkbox
35 Capturing and processing responses 81 Select a section (header)
36 Scoring algorithm 82 Language domain
37 Generating feedback 83 Mathematical domain
38 Storing & export of results 84 Physical domain
41 Mobile Device 85 Socio emotional domain
42 Non-Transitory Storage 86 Cognitive domain
43 User Interface Module 91 Text prompt / Question text
44 Data Processing Module 92 Audio instruction icon
45 Feedback Module 93 Answer options
46 Reporting Module 94 Image visual aid
47 Longitudinal Database 95 Audio question
51 Longitudinal data base 101 Physical development task
52 Reporting Engine 102 Response options
53 Format for Export 111 Total score obtained
54 Exportable Report 112 Readiness category
55 Export Modalities 113 Description box

5. DETAILED DESCRIPTION OF THE INVENTION
The present invention provides a mobile application system designed to assess school readiness skills in preschool children. The mobile application system includes interactive assessments, data analysis modules, and a user-friendly interface that delivers real-time feedback and recommendations for each child.
TERMS/DEFINITIONS:
1. Modem (11) refers to a communication device configured to connect the system to the internet for transmitting and receiving assessment data.
2. Cloud-Based Server (12) refers to an online storage and computing service configured to securely store assessment records, enable remote access, and support real-time synchronization across devices, thereby allowing parents and educators to track progress and retrieve past assessments from any location.
3. Network Access Point (13) refers to a networking device configured to extend Wi-Fi coverage and enable multiple devices to connect simultaneously, ensuring stable and reliable connectivity for use in educational settings.
4. Computing Device (15) refers to a desktop or laptop computer providing an alternative platform for the preschool assessment system, particularly for educators requiring a larger screen to manage assessments, analyze results, and generate reports; the device supports stable wired connectivity for data-intensive tasks including uploading records and printing reports.
5. Mobile Device (14) refers to a portable computing device configured as the primary medium for conducting assessments, enabling parents and teachers to access the system anywhere; the device supports interactive engagement with children through touch-based responses, audio prompts, and visual tools, thereby ensuring convenience, multimedia capability, and effective assessment delivery.
6. Graphical Input Module (19): A component for evaluating fine motor skills by enabling children to perform drawing, tracing, freeform sketching, and pattern completion. It captures metrics such as pressure consistency, line steadiness, movement fluidity, boundary accuracy, and shape replication.
7. User Interface Module (16) refers to a module comprising an interactive and child-friendly visual layout including menus, buttons, and icons, configured to guide children, parents, and educators through the assessment process, enable navigation across developmental domains, assessment tasks, and result pages, and facilitate input of demographic data and retrieval of assessment results.
8. Domains of Development Module (17) refers to A module configured to present a selectable interface of developmental domains including at least language and literacy, mathematical skills, physical development, social-emotional skills, and cognitive abilities; wherein the module enables users to select one or more domains for targeted assessment, thereby structuring evaluation of school readiness according to distinct developmental areas.
9. Interactive Assessment and Multimedia Module (18) refers to a module that engages children in developmental evaluation through multimedia-based tasks, including text questions, image recognition, and audio prompts, enhancing interactivity and supporting listening, visual learning, and reading skills for effective school readiness assessment.
10. Data Analysis is a system to provide the child's responses to generate meaningful insights about their performance. It evaluates response accuracy, speed, and attempt patterns using predefined algorithms. The analysis helps identify strengths and weaknesses, providing detailed reports on developmental progress. This component ensures that assessments are data-driven and objective, allowing for better decision-making regarding early childhood education.
11. Scoring module (21) refers to a scoring mechanism assigns points based on the child's responses and determines their school readiness level. Each correct answer earns points, and the cumulative score categorizes the child into one of three levels: emerging readiness, developing readiness, or proficient readiness. This structured scoring approach provides a clear understanding of the child's competency and helps guide further learning interventions.
12. Display Results (66) refers to a system-generated results page configured to present the child’s total score, readiness category, performance insights, and graphical representations of strengths and weaknesses, along with personalized recommendations, thereby enabling parents and educators to track progress and support developmental improvement.
14. Feedback & Recommendation Module (22) refers to A module configured to generate real-time readiness results, categorize the child into at least one of emerging, developing, or proficient levels, and provide personalized recommendations for developmental improvement; wherein the module further comprises a display results page (66) configured to present the child’s total score, readiness category, performance insights, and graphical representations of strengths and weaknesses, thereby enabling parents and educators to track progress and take proactive steps to enhance development.
15. Report Generation Module (23) refers to the module configured to generate assessment reports in both digital and physical formats, wherein the module enables printing of hard copies through a connected printer and exporting of digital copies, thereby allowing educators and parents to document a child’s progress for offline reference, school submissions, or professional evaluations; wherein the reporting feature ensures accessibility and supports long-term tracking of developmental records..
The construction of the present invention involves a mobile-based digital system (10) for assessing school readiness in preschool children. As illustrated in Figure 1, the system architecture includes hardware components such as a modem (11), a cloud-based server (12), a network access point (13), a computing device (14), and a mobile device (15). The core software modules comprise a user interface module (16), a developmental skill domain module (17), a domain-specific assessment module (18), a graphical input module (19) incorporating a digital drawing pad, a data processing module (20), a scoring module (21), and a feedback and recommendation module (22). Output systems include data analysis feedback (22) and, and storage and export of results (38).
The operation of the system (10) begins when a parent, teacher, or therapist logs in the application on a mobile device (14). Once the device connects through a modem (11), a network access point (13), the user interface (16) loads, providing a simple, child-friendly environment. Further, a domain-specific assessment module (18), a graphic input module (19), a data processing module (20), a scoring module (21), feedback and a recommendation module (22), and a report generation module (23) are configured to work seamlessly together, ensuring both accurate assessment and engaging interaction for the child.
The assessment process is executed through instructions stored on a non-transitory computer-readable medium (31). Input (32) includes child demographic data (33) and responses collected during the session. Once the child begins, the system presents domain-specific assessment activities (34) and captures responses (35) through the appropriate modules. The scoring algorithm (36) then evaluates performance, after which feedback is generated (37) and results are stored or exported (38) to support longitudinal tracking.
On the mobile device (41), the non-transitory storage medium (42) houses modules for the user interface (43), data processing (44), feedback (45), and reporting (46), each of which feeds into the longitudinal database (47). The database preserves each child's developmental history, enabling meaningful comparisons and monitoring of growth over time
From the longitudinal database (51), the reporting engine (52) retrieves records, compiles them into a formatted output (53), and produces an exportable report (54). These reports can then be shared via email (56), uploaded to cloud storage (57), or printed directly (58), providing parents, teachers, and therapists with accessible and actionable developmental records.
The assessment begins with initiation (61). The child interacts with activities (62), and the system collects responses (63). Data is analyzed (64), feedback generated (65), and results displayed (66). The process concludes (67), allowing the user to proceed to another domain or exit, seamlessly linking each assessment stage.
The system provides a registration screen (70) through which parents or teachers enter child demographic details, including name (71), age (72), height (73), weight (74), mobile number (75), and email ID (76). Consent is obtained via a checkbox (77). The registration operation associates subsequent assessments with the corresponding child profile and initializes tracking of developmental progress
Once registered, the developmental skill domain module (17) displays a main menu (80) with five selectable domains: language and literacy (82), mathematical (83), physical development (84), socio-emotional development (85), and cognitive development (86). Each domain offers tailored activities designed to evaluate specific skills.
Language tasks involve matching letters and sounds, mathematical tasks feature number puzzles, physical development engages the graphic input module (19), socio-emotional tasks focus on recognizing emotions, and cognitive tasks include problem-solving games. This interconnected design ensures a holistic understanding of the child’s abilities.
Within each domain, the child interacts with activities via the domain-specific assessment module (18). For example, a language and literacy task (90) may present a screen with a text prompt (91) such as "Select the word that corresponds to the provided image", an image-based visual aid (94) of a cat, and multiple-choice answer options (93) like "Fish", "Dog", "Cat", and "Bird". Another activity may include an audio instruction icon (92) for a vocabulary quiz, prompting the child to "Listen carefully to the description about a fruit and tap on the correct word", with options like "Apple", "Banana", "Orange", and "Grape". The system supports the child with guiding text prompts (91) and navigation controls (95), creating a smooth, intuitive progression through activities.
A cognitive development task might involve pattern recognition or problem-solving games, requiring the child to tap the correct option (93) to complete a sequence. For physical development, the graphic input module (19) activates tasks (101) such as displaying an instruction: "Tracing: Draw the bee on a paper and colour it." Upon completion, the system prompts the supervising adult to input the child's performance via a simple yes/no (A/B) multiple-choice question (102): "Was the child able to draw and colour the picture shown above?" This captures the outcome of the motor skill evaluation. For socio-emotional development, an activity might involve recognizing emotions from images or scenarios, followed by a question for the assessor, such as "Does the child were able to retell the story?" with "Yes" or "No" response options (93), assessing comprehension and empathy. By integrating skill evaluation directly into these interactive tasks, the system combines play with measurable assessment, connecting engagement with actionable data.
At the conclusion of the assessment, the results page (110) displays the total score obtained (111) and assigns a readiness category (112) Emerging, Developing, or Proficient. A description box (113) explains the child's readiness status, highlights challenges, outlines future skills for improvement, and suggests playful activities such as storytelling, drawing, or number games. This final step connects assessment outcomes with practical guidance, empowering parents, teachers, and therapists to support the child's next developmental milestones.
Throughout this process, the system maintains continuous interconnection between registration, activity engagement, scoring, feedback, and reporting. Children engage with the assessment through interactive games, drawings, puzzles, and questions, fostering engagement rather than testing anxiety, while adults receive structured, data-driven insights. By seamlessly integrating play with evaluation, the system creates a cohesive experience in which each step naturally leads to the next, enabling accurate measurement of readiness and providing actionable support for each child's development.

,CLAIMS:We Claim:
1.A mobile-based digital system (10) for evaluating school readiness in preschool children, the system comprising:
(a) one or more communication interfaces configured for data transmission and retrieval, the interfaces including:
(i) a modem (11) providing internet connectivity;
(ii) a cloud-based server (12) configured for secure storage, remote access, and synchronization of assessment records; and
(iii) a network access point (13) configured to extend wireless coverage and support multiple device connections;
(b) a computing or mobile device (14, 15) operable to execute instructions stored on a non-transitory computer-readable medium;
(c) a user interface module (16) configured to provide child-friendly interaction;
(d) a developmental skill domain module (17) configured to present multiple developmental domains including language, literacy, mathematics, physical, social-emotional, and cognitive skills;
(e) an interactive assessment and multimedia module (18) configured to deliver multimedia-based tasks comprising text prompts, image-based exercises, and audio-supported activities;
(f) a graphical input module (19) configured to capture fine motor skill responses including at least one of tracing, drawing, and character formation;
(g) a data analysis module (20) configured to process child responses and monitor assessment progress;
(h) a scoring module (21) configured to assign points and categorize readiness into emerging, developing, or proficient levels;
(i) a feedback and recommendation module (22) configured to provide real-time developmental feedback and tailored guidance for parents and educators;
(j) a report generation module (65) configured to generate and optionally print reports (23) of assessment outcomes;
(k) a display results module (66) configured to present readiness outcomes, performance insights, and graphical representations of strengths and weaknesses; and
(l) a non-transitory computer-readable storage medium (31, 42) configured to store instructions and developmental data,
Characterized in That:
the execution of the stored instructions by the computing or mobile device (14, 15) enables the system to:
(a) register and store child demographic details (70);
(b) conduct assessments across the developmental skill domains (17);
(c) generate and present interactive tasks (34);
(d) analyze and score responses using an adaptive scoring model (36);
(e) generate real-time readiness outcomes categorizing the child into emerging, developing, or proficient levels (37);
(f) provide tailored developmental recommendations for parents and educators (37); and
(g) enable longitudinal tracking of school readiness outcomes (38).
2. The mobile-based digital system (10) as claimed in claim 1, wherein the interactive assessment module comprises the domain-specific assessment module (18), which is configured to evaluate fine motor skills by capturing user-generated input via the graphical input module (19), including at least one of tracing, drawing, or character formation.
3. The mobile based digital system (10) as claimed in claim 1, wherein the data analysis module (20) is further configured to integrate real-time analytics to enable immediate generation of feedback by the feedback and recommendation module (22).
4. The mobile based digital system (10) as claimed in claim 1, wherein the system is configured to enable exporting of assessment reports (55, 58) for review by parents, educators, and child development professionals, including pediatricians, special educators, and psychologists.

5. A mobile based digital method (30) for assessing school readiness in preschool children, the method characterized by the steps of:
(a) receiving child demographic data, including name, age, height, weight, mobile number, and email ID, and obtaining consent via a registration module (70, 33);
(b) presenting domain-specific assessment tasks (34) using the domain-specific assessment module (18), the tasks selected from cognitive, social-emotional, physical, language and literacy, and mathematical developmental domains (17);
(c) capturing and processing child responses (35) using the data analysis module (20);
(d) applying a scoring algorithm (36) to classify the child into one or more readiness levels;
(e) generating and displaying feedback and recommendations for developmental improvement via the feedback and recommendation module (22, 23, 37);
(f) storing assessment results in a database (38) configured for longitudinal tracking, retrieval, and analysis; and
(g) optionally, utilizing the graphical input module (19) to capture fine motor skill responses, including at least one of line steadiness, pressure consistency, or boundary accuracy.

6. The mobile-based digital method as claimed in claim 5, wherein presenting the assessment tasks comprises delivering multimedia-based activities including text prompts (91), images (94), and audio instructions (92) corresponding to one or more developmental domains (17) via the domain-specific assessment module (18).

7. The mobile-based digital method as claimed in claim 5, wherein assessing fine motor skills comprises utilizing the graphical input module (19) to capture and analyze at least one of line steadiness, pressure consistency, and boundary accuracy of user-generated graphical inputs, including shapes or characters, as part of one or more developmental domains (17).

8. The mobile-based digital method as claimed in claim 5, wherein generating feedback comprises categorizing the child’s readiness into levels including emerging, developing, and proficient (112), and providing domain-specific learning recommendations (113) via the recommendation module (37) based on the assessed developmental domains (17).

9. The mobile-based digital method as claimed in claim 5, wherein storing assessment data is configured to enable exporting (55) and printing (58) of reports for review by parents, educators, and child development professionals, to support early intervention and developmental planning.

10. A non-transitory computer-readable storage medium (31) storing instructions, which when executed by one or more processors, causes the processor(s) to perform a method for assessing school readiness in preschool children, the method comprising:

(a) receiving child demographic and developmental data via the user interface module (16, 33);
(b) presenting domain-specific assessment tasks (34) across cognitive, social-emotional, physical, language and literacy, and mathematical developmental domains (17) using the domain-specific assessment module (18);
(c) capturing and processing child responses using the data analysis module (20, 35);
(d) applying a scoring algorithm to classify the child into readiness levels including emerging, developing, and proficient (36);
(e) generating personalized feedback and recommendations using the feedback and recommendation module (22, 23, 37);
(f) storing assessment results in a database (38) for longitudinal tracking and reporting; and
(g) optionally utilizing the graphical input module (19) to evaluate fine motor skills based on user-generated input.

11. The computer-readable medium as claimed in claim 10, wherein the stored instructions enable the processor(s) to assess fine motor skills using the graphical input module (19), the module configured to evaluate at least one of line steadiness, pressure consistency, and replication accuracy of user-generated shapes, characters, or figures.

12. The computer-readable medium as claimed in claim 10, wherein the stored instructions cause the processor(s) to generate exportable assessment reports (55) for review by parents, educators, and child development professionals.

13. The computer-readable medium as claimed in claim 10, wherein the stored instructions cause the processor(s) to generate feedback in real-time (37, 65) using predefined rules via the feedback and recommendation module (22).