Description:FORM 2
The Patent Act 1970
(39 of 1970)
&
The Patent Rules, 2003

COMPLETE SPECIFICATION
(See Section 10 and Rule 13)

TITLE OF THE INVENTION

METHOD AND SYSTEM FOR REAL-TIME STUDENT NOTEBOOK VISIBILITY IN AN ONLINE LEARNING ENVIRONMENT

SPARKL EDVENTURE PRIVATE LIMITED
3rd FLOOR, PLOT NO 58, SECTOR-44,
GURUGRAM, HARYANA-122003

An Indian Startup

The following specification particularly describes the invention and the manner in which it is to be performed:
TECHNICAL FIELD
[001] The present invention relates to online learning systems and, more particularly, to real-time student work monitoring in virtual classrooms. Specifically, the invention pertains to methods and systems that enable teachers to observe and assess handwritten student work dynamically, addressing the limitations of traditional online learning platforms.
BACKGROUND OF INVENTION
[002] In traditional online learning environments, a significant gap exists in teacher-student interaction due to the teacher's inability to observe a student's notebook in real time. Unlike physical classrooms, where teachers can move around and assess students' written work instantly, online learning lacks this capability. This limitation affects the effectiveness of real-time feedback and intervention, making it difficult for teachers to identify and correct student mistakes promptly.
[003] Current online learning platforms primarily rely on verbal communication and screen sharing, which do not provide adequate insight into a student’s thought process while solving problems. Teachers often depend on students verbally explaining their work or uploading images post-class, leading to delays in feedback and reduced teaching effectiveness. The inability to observe real-time student work on a notebook hinders proactive intervention and personalized teaching approaches.
[004] Some existing solutions attempt to bridge this gap using document scanning applications or periodic image uploads. However, these methods are asynchronous and do not provide a continuous, real-time view of student work. Moreover, they require additional steps from students, causing interruptions in the learning process. Video conferencing tools, while widely used, primarily focus on face-to-face interaction and do not provide dedicated functionality for monitoring student notebooks or physical workspaces.
OBJECT OF INVENTION
[005] The principal object of the present invention is to provide a system and method for enabling real-time visibility of a student’s notebook to a teacher in an online learning environment, thereby overcoming the limitations of conventional virtual classrooms that lack real-time student work monitoring.
[006] Another object of the present invention is to facilitate live streaming of a student’s handwritten work using a downward-facing camera unit, allowing teachers to observe, assess, and provide immediate feedback during virtual classes.
[007] Yet another object of the present invention is to enable teachers to annotate, highlight, and provide instructional guidance directly on the live video feed of the student’s notebook via a display interface unit, thereby improving interactive learning.
[008] Yet another object of the present invention is to allow teachers to capture screenshots of specific portions of the student’s notebook and overlay them onto a live class writing board for detailed instructional breakdowns and visual explanations.
[009] Yet another object of the present invention is to dynamically adjust video resolution based on ambient lighting conditions and motion detection to enhance the clarity of the student’s handwritten work.
[0010] Yet another object of the present invention is to integrate AI-based handwriting recognition for identifying and highlighting potential errors in student writing, thereby assisting in real-time assessment and error correction.
[0011] Yet another object of the present invention is to provide encryption for the live video feed before transmission, ensuring data privacy and security in online learning environments.
[0012] Yet another object of the present invention is to timestamp and store teacher annotations along with the captured screenshots, enabling future reference, student progress tracking, and comparative analysis of learning trends.
[0013] Yet another object of the present invention is to generate automated reports summarizing teacher feedback, student errors, and instructional insights, enhancing overall teaching efficiency and personalized learning experiences.

SUMMARY
[0014] Accordingly, the embodiments herein provide a system and method for enabling real-time student notebook visibility to a teacher in an online learning environment. The system comprises a downward-facing camera unit configured to capture a live video feed of a student’s notebook. The captured live video feed is streamed to a display interface unit associated with the teacher, enabling real-time observation of the student's work. In an embodiment, the display interface unit allows the teacher to annotate or highlight specific portions of the live video feed for real-time instructional feedback. Additionally, the teacher can capture screenshots of the annotated portions and transmit them for overlay onto a live class writing board using a communication interface unit, facilitating instructional breakdowns and visual explanations of mistakes.
[0015] In an embodiment, the downward-facing camera unit is configured to dynamically adjust video resolution based on ambient lighting conditions and motion detection, ensuring optimal clarity.
[0016] In an embodiment, the display interface unit enables the teacher to overlay handwritten annotations directly onto the live video feed, enhancing instructional feedback.
[0017] In an embodiment, the display interface unit includes a zoom functionality, allowing the teacher to magnify specific portions of the live video feed for detailed assessment of the student's work.
[0018] In an embodiment, the display interface unit incorporates an AI-based handwriting recognition module to identify and highlight potential errors in the student's writing in real-time.
[0019] In an embodiment, the communication interface unit transmits the captured screenshots to a cloud storage module for retrieval and review after the live class session.
[0020] In an embodiment, the downward-facing camera unit encrypts the live video feed before transmission to ensure data privacy and security.
[0021] In an embodiment, the teacher’s annotations or highlights are timestamped and stored along with the captured screenshot for future reference and student progress tracking.
[0022] In an embodiment, the display interface unit enables the teacher to compare multiple captured screenshots from different students simultaneously to analyze classroom-wide learning trends.
[0023] In an embodiment, the display interface unit generates an automated report summarizing the teacher’s annotations, student errors, and feedback provided during the session, facilitating continuous assessment and progress tracking.
[0024] In an embodiment, wherein the communication interface unit facilitates peer-to-peer video streaming of the live video feed between the downward-facing camera unit and the display interface unit associated with the teacher, ensuring low-latency, real-time communication during the peer-to-peer video streaming.
[0025] In an embodiment, wherein real-time annotations on the live video feed are made using an interactive canvas interface, enabling the teacher to directly highlight and annotate specific portions of the student's work for instructional feedback.
[0026] In an embodiment, wherein handwriting recognition is performed in real-time using integrated AI models, including Generative AI (GenAI), which automatically detect and highlight potential errors in the student's notebook content, providing the teacher with actionable insights for review and assessment of student performance.
[0027] In an embodiment, wherein a signaling server, implemented by the communication interface unit (206), manages the transmission and synchronization of control messages, including annotations and events, between the teacher and student devices during live sessions, ensuring real-time feedback consistency.
[0028] In an embodiment, wherein the live video feed captured by the downward-facing camera unit is subjected to real-time video filtering to dynamically enhance clarity by adjusting lighting, reducing noise, and improving visibility under varying environmental conditions before streaming to the display interface unit associated with the teacher.
[0029] These and other aspects of the embodiments herein will be better appreciated and understood when considered in conjunction with the following description and the accompanying drawings. It should be understood, however, that the following descriptions, while indicating preferred embodiments and numerous specific details thereof, are given by way of illustration and not of limitation. Many changes and modifications may be made within the scope of the embodiments herein without departing from the spirit thereof, and the embodiments herein include all such modifications.
BRIEF DESCRIPTION OF THE DRAWINGS
[0030] Examples of the embodiments herein are illustrated in the accompanying drawings, throughout which reference letters and the like indicate corresponding parts in the various figures. The example embodiments herein will be better understood from the following description with reference to the drawings, in which:
[0031] FIG. 1 illustrates a system for enabling real-time student notebook visibility to a teacher in an online learning environment, according to an embodiment as disclosed herein; and
[0032] FIG.2 is a flow chart illustrating a method for enabling real-time student notebook visibility to a teacher in an online learning environment, according to an embodiment as disclosed herein.

DETAILED DESCRIPTION OF THE DRAWINGS
[0033] The embodiments herein and the various features and advantageous details thereof are explained more fully with reference to the non-limiting embodiments that are illustrated in the accompanying drawings and detailed in the following description. Descriptions of well-known components and processing techniques are omitted, so as not to unnecessarily obscure the embodiments herein. The examples used herein are intended merely to facilitate an understanding of ways in which the embodiments herein can be practiced and to further enable those of skill in the art to practice the embodiments herein. Accordingly, the examples should not be construed as limiting the scope of the embodiments herein.
[0034] Accordingly, the embodiments herein provide a system and method for enabling real-time student notebook visibility to a teacher in an online learning environment. The system comprises a downward-facing camera unit configured to capture a live video feed of a student’s notebook. The captured live video feed is streamed to a display interface unit associated with the teacher, enabling real-time observation of the student's work. In an embodiment, the display interface unit allows the teacher to annotate or highlight specific portions of the live video feed for real-time instructional feedback. Additionally, the teacher can capture screenshots of the annotated portions and transmit them for overlay onto a live class writing board using a communication interface unit, facilitating instructional breakdowns and visual explanations of mistakes.
[0035] Referring now to the drawings, and more particularly to FIG 1 through 2, where similar reference characters denote corresponding features consistently throughout the figures, there are shown preferred embodiments.
[0036] FIG. 1 illustrates a system (100) for enabling real-time student notebook visibility to a teacher in an online learning environment, according to an embodiment as disclosed herein. The system (100) comprises a Downward-Facing Camera Unit (200) and a Display Interface Unit (300). The Downward-Facing Camera Unit (200) is configured to capture, process, and transmit visual data of a student's notebook, thereby providing the teacher with a real-time view of the student's work. The Downward-Facing Camera Unit (200) further comprises a Capturing Unit (202), a Streaming Unit (204), a Communication Unit (206), and a Memory Unit (208), each of which performs distinct functions to ensure efficient real-time observation, feedback, and documentation.
[0037] The Capturing Unit (202) is configured to capture high-resolution images and video of a student's notebook during an online learning session. Equipped with a high-definition camera module, such as a 1080p or 4K camera, the Capturing Unit (202) is optimally positioned above the student’s workspace to provide an unobstructed view. This configuration ensures clear visibility of handwritten content, including fine details such as mathematical equations, diagrams, and annotations. The Capturing Unit (202) further incorporates image enhancement functionalities, such as brightness adjustment, contrast optimization, and sharpness enhancement, to ensure legibility even in suboptimal lighting conditions. For instance, in a mathematics class, the Capturing Unit (202) continuously records each step of a student's algebraic equation, allowing the teacher to observe the logical progression and intervene immediately if an error is detected. Additionally, the Capturing Unit (202) is configured to dynamically adjust video resolution based on ambient lighting conditions and motion detection to enhance clarity.
[0038] The Streaming Unit (204) is configured to process and transmit the captured video feed in real time. The Streaming Unit (204) employs adaptive transmission protocols to ensure smooth and uninterrupted data exchange between the Downward-Facing Camera Unit (200) and the teacher’s device. To maintain optimal streaming performance, the Streaming Unit (204) dynamically adjusts video resolution and frame rate based on network conditions, thereby preventing lag or disruptions. Additionally, the Streaming Unit (204) optimizes bandwidth usage while maintaining high image clarity, ensuring that even students in low-connectivity areas can effectively participate in the online learning session. By implementing real-time encoding and compression techniques, the Streaming Unit (204) ensures efficient data transfer, allowing for seamless teacher-student interaction without delays.
[0039] The Communication Unit (206) is configured to facilitate the transmission of the live video feed from the Downward-Facing Camera Unit (200) to the teacher’s device. The Communication Unit (206) supports multiple connectivity options, including both wired and wireless transmission, thereby providing flexibility in diverse network environments. In scenarios where network stability is a concern, such as rural locations with limited connectivity, the Communication Unit (206) can prioritize wired Ethernet connections to ensure uninterrupted data transmission. Conversely, in urban settings with high-speed internet availability, the Communication Unit (206) may utilize Wi-Fi or 5G connectivity for seamless wireless communication. Furthermore, the Communication Unit (206) is configured to optimize data packet transmission, ensuring minimal latency and high synchronization accuracy between the student’s real-time writing and the teacher’s observation. The Communication Unit (206) also transmits captured screenshots to a cloud storage module for retrieval and review after the live class session.
[0040] The Memory Unit (208) is configured to store the live video feed captured by the Downward-Facing Camera Unit (200), enabling future retrieval and review of the student’s handwritten work. The Memory Unit (208) supports the storage of teacher annotations, highlights, and captured screenshots from the live video feed, ensuring that instructional feedback remains accessible for post-session reference. By incorporating timestamped storage functionalities, the Memory Unit (208) enables educators to track student progress over multiple learning sessions. Additionally, the Memory Unit (208) interfaces with a cloud storage module via the Communication Unit (206), allowing remote retrieval of stored content. This feature ensures that teachers can review student work beyond the live class session, analyze learning trends, and generate comprehensive reports on student performance.
[0041] The Display Interface Unit (300) is configured to receive and display the live video feed, providing the teacher with real-time visibility of the student's notebook. The Display Interface Unit (300) further enables the teacher to overlay handwritten annotations directly onto the live video feed for enhanced instructional feedback. Moreover, the Display Interface Unit (300) allows the teacher to capture and store screenshots of the annotated sections, which can then be transmitted to a class writing board interface for collaborative discussion and error correction. To enhance assessment accuracy, the Display Interface Unit (300) includes zoom functionality that allows teachers to magnify specific portions of the student’s work for a more detailed evaluation. Additionally, the Display Interface Unit (300) is configured to timestamp the teacher's annotations or highlights and store them along with the captured screenshot for future reference and student progress tracking. The Display Interface Unit (300) is further configured to compare multiple captured screenshots from different students simultaneously to analyze classroom-wide learning trends.
[0042] The system (100) further comprises additional features to enhance real-time feedback and instructional support. In one embodiment, an AI-based handwriting recognition module within the Display Interface Unit (300) is configured to analyze and highlight potential errors in the student’s writing, enabling automated assistance during the learning process. The system (100) also includes an automated report generation module that summarizes teacher annotations, identified errors, and instructional feedback, thereby creating a structured record of the student’s progress. Additionally, for security and privacy protection, the Downward-Facing Camera Unit (200) includes an encryption module configured to encrypt the live video feed before transmission, ensuring that sensitive student data remains protected.
[0043] By integrating these components, the disclosed system (100) provides an innovative solution for online education, bridging the gap between physical and virtual learning environments. The real-time visibility of student notebooks enables immediate teacher intervention, fosters enhanced student engagement, and supports data-driven educational insights. Unlike conventional online learning tools that rely solely on digital assignments, this system (100) replicates the in-person classroom experience by facilitating real-time observation and feedback on handwritten work. The combination of high-resolution video capture, adaptive streaming, flexible communication, structured memory storage, and intelligent instructional tools establishes a comprehensive platform for interactive and effective online learning.
[0044] In an embodiment, the communication interface unit (206) can be configured to support low-latency peer-to-peer communication protocols, such as WebRTC (Web Real-Time Communication), for live video streaming. This protocol enables direct, low-latency transmission of the notebook video feed between the downward-facing camera unit (200) and the display interface unit (300), ensuring real-time communication with minimal delay. This peer-to-peer communication ensures high-quality video transmission and seamless interaction between the teacher and student during the annotation process.
[0045] In a further embodiment, the display interface unit (300) includes an interactive canvas interface that allows the teacher to annotate the live video feed in real-time. Using JavaScript Canvas, the system supports multiple types of annotations, including text, shapes, and freehand drawing. This capability enables the teacher to draw, highlight, and mark specific portions of the student's notebook content, offering detailed and comprehensive instructional feedback. The interactive canvas interface allows for dynamic interaction with the notebook content, enhancing the learning experience for the student.
[0046] In another embodiment, the system (100) incorporates a handwriting recognition module integrated within the display interface unit (300). This module uses AI models, including Generative AI (GenAI), to perform real-time analysis of the student's notebook content. The handwriting recognition functionality automatically detects potential errors such as incorrect spelling, misformed letters, or unclear handwriting. These errors are highlighted for review, and actionable insights are provided to the teacher to facilitate assessment and targeted feedback. The real-time analysis supports effective and efficient review of the student's performance.
[0047] In a further embodiment, the communication interface unit (206) includes a signaling server, implemented using Node.js, that handles real-time synchronization of annotations between the teacher and multiple students. This signaling server manages the transmission of control messages, including annotations and event data, between the teacher's and students' devices. The system ensures that annotations are transmitted and displayed in real-time on all participants' devices, enabling collaborative feedback sessions. The synchronization allows for a consistent and cohesive learning experience, with all students receiving the same annotations and feedback in real-time.
[0048] In another embodiment, the downward-facing camera unit (200) includes a real-time video filtering module that is adaptive to varying environmental conditions. The filtering module dynamically adjusts video settings, such as lighting, exposure, and noise reduction, in response to factors like ambient light, motion, and background interference. This adaptive filtering improves the clarity of the notebook feed by adjusting for changes in the environment, ensuring optimal video quality during the live session. The video filtering process is implemented using JavaScript to dynamically adjust the feed in real-time, enhancing visibility for both the teacher and student, and ensuring the feed remains clear under various conditions.
[0049] [0063] FIG. 1 illustrates exemplary components and functional units of the system (100) for enabling real-time student notebook visibility to a teacher in an online learning environment. While certain components and units are explicitly depicted in FIG. 1, it is to be understood that various embodiments may include additional, fewer, or alternative components without departing from the scope of the invention. The labeling and nomenclature of the components/units are provided for illustrative purposes only and should not be construed as limiting. Furthermore, in some embodiments, multiple components or functional units may be integrated or combined to perform the same or substantially similar operations within the system.
[0050] FIG. 2 is a flowchart (400) illustrating a method for enabling real-time student notebook visibility to a teacher in an online learning environment, according to an embodiment as disclosed herein.
[0051] At Step 402, the method includes capturing a live video feed of a student's notebook in the online learning environment. The method allows the Capturing Unit (202) of the Downward-Facing Camera Unit (200) to capture the live video feed of the student's notebook in the online learning environment. In an example, a student is solving a mathematics problem in their notebook while the downward-facing camera positioned above their desk records their handwriting in real time. This ensures that the teacher can monitor the student’s work remotely without any delay.
[0052] At Step 404, the method includes streaming the captured live video feed to a teacher located remotely. The method allows the Streaming Unit (204) of the Downward-Facing Camera Unit (200) to transmit the live video feed to the Display Interface Unit (300) associated with the teacher. In an example, as the student continues writing, the live video feed is seamlessly streamed to the teacher’s screen, allowing the teacher to observe the student’s work in real time and track their progress.
[0053] At Step 406, the method includes displaying the live video feed received from the Downward-Facing Camera Unit (200), thereby providing the teacher with a direct view of the student’s notebook for real-time observation. The method allows the Display Interface Unit (300) to render and display the live video feed for teacher observation. In an example, the teacher sees the student attempting a geometry proof and can instantly determine if they are following the correct steps or need guidance.
[0054] At Step 408, the method includes enabling the teacher to annotate or highlight specific portions of the live video feed, thereby facilitating real-time instructional feedback. The method allows the annotation module of the Display Interface Unit (300) to overlay annotations and highlights onto the live video feed. In an example, the teacher notices that the student has incorrectly labeled angles in a triangle and immediately circles the mistake in red while adding a correct label, ensuring immediate feedback.
[0055] At Step 410, the method includes capturing a screenshot of the annotated or highlighted portions of the live video feed for documentation and instructional reinforcement. The method allows the screenshot capture module of the Display Interface Unit (300) to capture and store the annotated frame from the live video feed. In an example, the teacher takes a snapshot of the corrected diagram and stores it for future reference, allowing both the student and teacher to revisit the feedback later.
[0056] At Step 412, the method includes transmitting the captured screenshot for overlay onto a live class writing board, enabling instructional breakdowns and visual explanations of mistakes identified within the student’s work. The method allows the Communication Unit (206) to transmit the captured screenshot to the live class writing board for live overlay and instructional enhancement. In an example, the teacher shares the corrected geometry proof with the entire class, explaining the concept in a collaborative manner and reinforcing the correct approach through a detailed breakdown.
[0057] The various actions, acts, blocks, steps, or the like in the method and the flow diagram 400 may be performed in the order presented, in a different order or simultaneously. Further, in some embodiments, some of the actions, acts, blocks, steps, or the like may be omitted, added, modified, skipped, or the like without departing from the scope of the invention.
[0058] The present invention provides a system and method that overcomes significant limitations of conventional online education systems by enabling real-time visibility into handwritten student work, thereby replicating and enhancing the physical classroom experience in virtual learning environments. Unlike traditional e-learning systems that predominantly rely on digital text inputs, pre-recorded content, or shared screens, the disclosed system enables teachers to observe, assess, and interact with the student's ongoing handwritten work in real time, offering a pedagogically meaningful transformation in remote instruction.
[0059] According to the embodiments disclosed herein the present invention provides the following technical advantages over conventional online learning systems:
[0060] Real-Time Notebook Visibility: The downward-facing camera unit (200) is configured to capture and transmit a live video feed of a student’s notebook to the display interface unit (300) associated with a remote teacher. This enables real-time observation of the student’s handwritten work, eliminating the need for delayed image uploads or verbal explanations.
[0061] Live Teacher Intervention: The display interface unit (300) enables the teacher to identify errors and gaps in the student’s understanding in real time and provide immediate instructional feedback. The ability to annotate and highlight portions of the live video feed ensures an interactive and responsive learning environment.
[0062] Snip and Embed Functionality: The display interface unit (300) is further configured to capture a screenshot of annotated or highlighted portions of the student’s notebook and transmit the captured screenshot to a live class writing board via the communication interface unit (206). This functionality facilitates visual instructional breakdowns, thereby improving concept clarity and knowledge retention.
[0063] Seamless Platform Integration: The system (100) is designed for direct integration into a proprietary online learning platform, thereby eliminating dependency on third-party applications. The downward-facing camera unit (200), display interface unit (300), and communication interface unit (206) operate synchronously, ensuring uninterrupted real-time interaction between teachers and students.
[0064] Enhanced Student Engagement: The system (100) enables instant feedback and interactive teacher-student collaboration, closely replicating the in-person classroom experience. The timestamping of annotations and highlights allows students to review feedback asynchronously, while an AI-based handwriting recognition module may further assist in automatic error detection and analysis.
[0065] Scalability and Device Compatibility: The downward-facing camera unit (200) and display interface unit (300) are configured to operate across multiple hardware platforms, including desktops, laptops, tablets, and mobile devices. The system (100) is further designed to function with built-in webcams, external cameras, or dedicated smart devices, thereby ensuring scalability and widespread accessibility for individual users and institutional deployments.
[0066] Accordingly, the present invention provides a technically advanced solution for real-time student work visibility in online learning environments, thereby enhancing instructional efficiency, reducing feedback delays, and improving student engagement through interactive and adaptive learning methodologies.
[0067] The foregoing description of the specific embodiments will so fully reveal the general nature of the embodiments herein that others can, by applying current knowledge, readily modify and/or adapt for various applications such specific embodiments without departing from the generic concept, and, therefore, such adaptations and modifications should and are intended to be comprehended within the meaning and range of equivalents of the disclosed embodiments. It is to be understood that the phraseology or terminology employed herein is for the purpose of description and not of limitation. Therefore, while the embodiments herein have been described in terms of preferred embodiments, those skilled in the art will recognize that the embodiments herein can be practiced with modification within the spirit and scope of the embodiments as described herein.
, Claims:We Claim:
1. A method for enabling real-time student notebook visibility to a teacher in an online learning environment, the method comprising:
capturing, by a downward-facing camera unit (200), a live video feed of a student's notebook in the online learning environment;
streaming, by the downward-facing camera unit (200), the live video feed to a display interface unit (300) associated with the teacher located remotely;
displaying, by the display interface unit (300), the live video feed received from the downward-facing camera unit (200), thereby providing the teacher with a direct view of the student’s work for real-time observation;
enabling, by the display interface unit (300), the teacher to annotate or highlight specific portions of the live video feed for real-time instructional feedback;
enabling, by the display interface unit (300), the teacher to capture a screenshot of the annotated or highlighted portions of the live video feed of the student's notebook; and
transmitting, by the display interface unit (300), the captured screenshot for overlay onto a live class writing board using a communication interface unit (206), thereby facilitating instructional breakdowns and visual explanations of mistakes identified within the annotated portions of the student’s work.
2. The method as claimed in claim 1, wherein the downward-facing camera unit (200) is further configured to adjust video resolution dynamically based on ambient lighting conditions and motion detection to enhance clarity.
3. The method as claimed in claim 1, wherein the display interface unit (300) enables the teacher to overlay handwritten annotations directly onto the live video feed for enhanced instructional feedback.

4. The method as claimed in claim 1, wherein the display interface unit (300) further includes a zoom functionality that allows the teacher to magnify specific portions of the live video feed for detailed assessment of the student's work.
5. The method as claimed in claim 1, wherein the display interface unit (300) applies an AI-based handwriting recognition module to identify and highlight potential errors in the student's writing.
6. The method as claimed in claim 1, wherein the communication interface unit (206) transmits the captured screenshot to a cloud storage module for retrieval and review after the live class session.
7. The method as claimed in claim 1, wherein the downward-facing camera unit (200) encrypts the live video feed before transmission to ensure data privacy and security.
8. The method as claimed in claim 1, wherein the teacher's annotations or highlights are timestamped and stored along with the captured screenshot for future reference and student progress tracking.
9. The method as claimed in claim 1, wherein the display interface unit (300) enables the teacher to compare multiple captured screenshots from different students simultaneously to analyze classroom-wide learning trends.
10. The method as claimed in claim 1, wherein the display interface unit (300) generates an automated report summarizing the teacher’s annotations, student errors, and feedback provided during the session.
11. The method as claimed in claim 1, wherein the communication interface unit (206) facilitates peer-to-peer video streaming of the live video feed between the downward-facing camera unit (200) and the display interface unit (300) associated with the teacher, ensuring low-latency, real-time communication during the peer-to-peer video streaming.
12. The method as claimed in claim 1, wherein real-time annotations on the live video feed are made using an interactive canvas interface, enabling the teacher to directly highlight and annotate specific portions of the student's work for instructional feedback.

13. The method as claimed in claim 1, wherein handwriting recognition is performed in real-time using integrated AI models, including Generative AI (GenAI), which automatically detect and highlight potential errors in the student's notebook content, providing the teacher with actionable insights for review and assessment of student performance.
14. The method as claimed in claim 1, wherein a signaling server, implemented by the communication interface unit (206), manages the transmission and synchronization of control messages, including annotations and events, between the teacher and student devices during live sessions, ensuring real-time feedback consistency.
15. The method as claimed in claim 1, wherein the live video feed captured by the downward-facing camera unit (200) is subjected to real-time video filtering, to dynamically enhance clarity by adjusting lighting, reducing noise, and improving visibility under varying environmental conditions before streaming to the display interface unit (300) of the teacher.

16. A system (100) for enabling real-time student notebook visibility to a teacher in an online learning environment, the system (100) comprising:
a downward-facing camera unit (200) configured to:
capture and stream a live video feed of a student's notebook in the online learning environment;
a communication interface unit (206) configured to:
transmit the live video feed from the downward-facing camera unit (200) to a teacher located remotely;
a display interface unit (300) configured to:
receive and display the live video feed, thereby providing the teacher with a direct view of the student's work for real-time observation;
enable the teacher to annotate or highlight specific portions of the live video feed for real-time instructional feedback;
allow the teacher to capture a screenshot of the annotated or highlighted portions of the live video feed of the student's notebook; and
transmit the captured screenshot for overlay onto a live class writing board using the communication interface unit (206), thereby facilitating instructional breakdowns and visual explanations of mistakes identified within the annotated portions of the student’s work.
17. The system (100) as claimed in claim 16, wherein the downward-facing camera unit (200) is further configured to dynamically adjust video resolution based on ambient lighting conditions and motion detection to enhance clarity.
18. The system (100) as claimed in claim 16, wherein the display interface unit (300) enables the teacher to overlay handwritten annotations directly onto the live video feed for enhanced instructional feedback.
19. The system (100) as claimed in claim 16, wherein the display interface unit (300) includes a zoom functionality that allows the teacher to magnify specific portions of the live video feed for detailed assessment of the student's work.
20. The system (100) as claimed in claim 16, further comprising an AI-based handwriting recognition module within the display interface unit (300), configured to analyze and highlight potential errors in the student's writing in real time.
21. The system (100) as claimed in claim 16, wherein the communication interface unit (206) transmits the captured screenshot to a cloud storage module for retrieval and review after the live class session.
22. The system (100) as claimed in claim 16, wherein the downward-facing camera unit (200) includes an encryption module configured to encrypt the live video feed before transmission to ensure data privacy and security.
23. The system (100) as claimed in claim 16, wherein the display interface unit (300) is further configured to timestamp the teacher's annotations or highlights and store them along with the captured screenshot for future reference and student progress tracking.
24. The system (100) as claimed in claim 16, wherein the display interface unit (300) is further configured to compare multiple captured screenshots from different students simultaneously to analyze classroom-wide learning trends.
25. The system (100) as claimed in claim 16, further comprising an automated report generation module configured to summarize the teacher’s annotations, student errors, and feedback provided during the session.
26. The system (100) as claimed in claim 16, wherein the communication interface unit (206) is further configured to support low-latency peer-to-peer communication protocols for the live video streaming, ensuring high-quality video transmission between the downward-facing camera unit (200) and the display interface unit (300).
27. The system (100) as claimed in claim 16, wherein the interactive canvas interface of the display interface unit (300) supports multiple types of annotations, including text, shapes, and freehand drawing, enabling the teacher to provide comprehensive instructional feedback on the student's work.
28. The system (100) as claimed in claim 16, wherein a handwriting recognition module integrated within the display interface unit (300) uses AI models, including Generative AI (GenAI), to perform real-time analysis of the student's notebook content, automatically detecting and highlighting potential errors in the handwriting, and providing the teacher with actionable insights for review and assessment of the student's performance.
29. The system (100) as claimed in claim 16, wherein a signaling server implemented by the communication interface unit (206) is further configured to handle real-time synchronization of annotations between multiple students and the teacher, enabling collaborative feedback sessions.
30. The system (100) as claimed in claim 16, wherein the real-time video filtering module of the downward-facing camera unit (200) is adaptive, dynamically adjusting settings based on environmental factors such as ambient light, motion, or background interference, to optimize video clarity in various conditions.