π DeepReview β AI-Powered Academic Reading Platform
DeepReview is an intelligent web-based platform designed for students and instructors, aimed at improving the reading, analysis, and understanding of academic research papers through advanced Artificial Intelligence technologies. The system combines PDF analysis, an academic AI chat, a Socratic learning bot, article comparison tools, and advanced pedagogical progress tracking.
π― Project Objectives
Reduce the time required to read and understand academic papers
Strengthen critical thinking rather than rote memorization
Create an interactive, measurable learning experience
Provide instructors with analytical and monitoring tools
π₯ Target Audience
Students β Analyze, understand, discuss, and compare academic articles
Instructors β Track student progress, generate reports, and assess critical thinking
β¨ Key Features π¨βπ For Students
Upload academic papers in PDF format
Automatic extraction of:
Title
Authors
Abstract
Keywords
Main topics
Smart academic chat based only on the article content
Socratic Learning Bot:
Progressive questions (difficulty levels)
Understanding-oriented feedback
Personalized difficulty adaptation based on performance
Comparison between two articles (topic, methodology, results)
Personal learning progress tracking (scores, strengths, weaknesses)
Export outputs to PDF / Word
π©βπ« For Instructors
Administrative dashboard
View and monitor student progress
Reports on understanding and critical thinking
Analytics and data visualization
Article and content management
π§ Core Technologies Frontend
Next.js (App Router)
React
TypeScript
Tailwind CSS
Backend
Next.js Server Actions
API Routes
AI
Google Gemini API
Summaries
Academic chat
Socratic learning bot
Database & Authentication
Supabase
PostgreSQL
Authentication
PDF Storage
Deployment
Vercel
π Links
π Live App https://deep-review-app.vercel.app
π§βπ» GitHub Repository https://github.com/Mohamedkhattab02/DeepReview.git
π₯ Demo Video https://drive.google.com/file/d/1Gjpq9Lo93H9_spa3F-LLmNNhdkrh2mqx/view
π¨βπ» Development Team
Mohamed Khattab
Khaled Habashi
Samuel Zreik