SENSAI

Login Page
List of students in class
Educator – Courses Provided
Personalized feedback for students
List of students in class
Upload & evaluate answer sheets
View or edit marks
Student – Enrolled Courses
Course
Marks report
Marks breakdown

Inspiration

We wanted to redefine the way educators evaluate student performance—making it smarter, faster, and more insightful. Traditional grading lacks personalization, and we saw an opportunity to bridge that gap using AI.

What it does

SENSAI simplifies student evaluation by:

Displaying class-wise student performance
Enabling grading and AI-generated personalized feedback
Supporting custom or default evaluation keys
Allowing marksheet edits based on feedback
Giving students access to their detailed performance and insights for improvement

How we built it

We built SENSAI using:

Frontend: React (or your stack)
Backend: Node.js with Express
AI Engine: Integrated with OpenAI for dynamic feedback generation
Database: MongoDB for structured performance data
Security: JWT for user authentication

Challenges we ran into

Ensuring feedback remained contextually accurate
Handling diverse grading schemes across different classes
Designing a clean UI for both educators and students
Real-time performance and response generation under heavy data loads

Accomplishments that we're proud of

Achieved seamless integration of AI feedback tailored to individual students
Created a system where educators could upload or auto-generate evaluation keys
Designed a user-friendly interface adaptable for both mobile and web

What we learned

The power of AI in education goes beyond automation—it enables personalization at scale
Simplicity in UX/UI is critical when working with educational tools
Scalability and modular design are essential when building for real-world classroom use