AI-Assisted Student University Learning Platform

Project Overview

The AI-Assisted Student University Learning Platform is an intelligent system designed to support students in organizing their academic journey. It offers AI-generated course roadmaps, curated topic-wise resources, and auto-generated quizzes. Built with FastAPI, the backend is integrated with Gemini Studio API to dynamically extract content based on the course syllabus and user progress.

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Backend (FastAPI)

The backend of this platform is built using FastAPI, a modern, high-performance Python web framework. The system interacts with the Gemini Studio API for various AI-powered features, such as:

• Course roadmap generation from a given syllabus.
• Topic-wise study resources extraction (books, chapters, and websites).
• Quiz question generation for each week's topics.

The Gemini API responses are formatted in JSON and parsed through a three-level nested loop before being saved to the database.

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Core Features

AI-Driven Operations

• Roadmap Generation: Based on course syllabus and duration input.
• Topic Resources: Triggered upon a student opening a topic for the first time.
• Quiz Questions: Generated for topics of a given week.

REST API Endpoints

• POST /start-semester – Start a new semester
• GET /semesters – Fetch all semesters
• GET /courses – Get all courses
• GET /course-statistics – View statistics of a course
• GET /topics – Retrieve all topics
• GET /topic-resources/{topic_id} – Fetch AI-generated resources for a topic
• POST /start-quiz – Initiate quiz for a topic/week
• POST /submit-quiz – Submit completed quiz
• GET /academics – View academic records
• GET /attendance – View attendance records
• PUT /update-marks – Update marks for a student
• PUT /update-attendance – Update attendance for a student
• PUT /update-topic-status – Update status of a topic (e.g., started, completed)

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Database Configuration

• Database: PostgreSQL
• ORM and Migrations: Implemented using SQLAlchemy and Alembic.
• All schemas and tables (e.g., Courses, Topics, Users, QuizResults) are created and managed via migrations.

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Authentication

A simple JWT-based authentication system is implemented for secure access to the APIs. Upon login, a token is issued which must be included in the headers of protected routes.

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Tech Stack

• Backend Framework: FastAPI
• AI Integration: Gemini Studio API
• Database: PostgreSQL
• ORM: SQLAlchemy
• Migrations: Alembic
• Authentication: JWT Tokens

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Frontend Repository

The frontend of this platform is built using React Js and Tailwind CSS and can be found here: Frontend Repository