Generative AI in Edutech

Scope of Work 

Subject Recognition

• Students can take a photo of any kind of subject using their device’s camera.
• AI extracts and identifies mathematical expressions, numbers, symbols, and text.
• Supports both printed and handwritten questions.

Subject Solving

• AI breaks down the solution into logical steps, showing each process transparently.
• Supports multiple solution methods (e.g., algebraic vs. graphical approaches).
• Offers interactive learning, where students attempt steps before AI provides guidance.

Handwriting Recognition & Student Input

• Supports handwritten problem-solving via Apple Pencil, stylus, or touchscreen.
• AI analyzes student-written steps and provides real-time feedback on errors.

 Student Progress Tracking & Adaptive Learning

• Tracks student performance and progress over time.
• AI recommends practice questions based on past mistakes and weak areas.
• Integrates a gamified learning experience to increase engagement.

 Deliverables

• AI-powered Subject Recognition
• Subject Solution Generator
• Interactive Problem-Solving Mode
• Handwriting Recognition & Input Support
• Performance Tracking Dashboard
• Final Testing & Deployment

Handover Process and customer sign off 

Documentation

• A comprehensive technical documentation will be provided during the handover process, covering the developed AI model, integration processes, and API usage.
• The documentation will explain how the model operates, which datasets were used for training, performance criteria, and potential future improvements.

Training

• Training sessions will be conducted for users and technical teams, detailing AI system usage, API integration, and maintenance processes.

Operational Readiness & Monitoring

• Before going live, all system components will be verified to ensure full functionality on AWS.
• Performance monitoring tools (e.g., CloudWatch, Prometheus) will be configured, and automated alert mechanisms will be enabled.

Validation & Approval

• The system will be validated with the customer to ensure it meets the expected performance criteria.
• Once customer testing is completed, a formal “Handover Acceptance Document” will be signed to close the project.