Project Summary – StudySnap MVP

Type: Web Application (React Frontend + FastAPI Backend)

Purpose:

StudySnap is a web application designed to help students quickly summarize their lecture notes, PDFs, images, or voice recordings using AI. The goal is to save time and improve study efficiency by generating concise, readable summaries.

Features:

User Authentication

Registration and Login system

Stores user information locally (or via backend JSON database)

File Upload & AI Summarization

Upload PDF, image, or text files

AI-powered summarization (placeholder for OpenAI API)

Immediate display of summary

History Management

Stores previously summarized files

Allows download of summaries as PDF

Allows deletion of old summaries

Sharing summaries via WhatsApp

Responsive and Clean UI

Simple React-based interface

Easy navigation between login and dashboard

Mobile-friendly layout

Technology Stack:

Frontend: React, React Router, jsPDF

Backend: FastAPI, Python, JSON file storage

Development Tools: Vite / Create React App, Node.js, npm

How It Works:

User registers and logs in.

Uploads a lecture file or voice note.

The system generates a summarized version of the content.

Users can view, download, delete, or share their summaries.

Key Advantages:

Fast and easy access to summarized lecture notes

Lightweight MVP that can scale with AI integration

User-friendly interface for students of all levels

Next Steps / Enhancements:

Integrate real AI summarization (OpenAI GPT API)

Add user profile management

Improve file type support (Word, audio transcription, images)

Deploy as a full production-ready web app