📚 Slay The Syllabus

AI-Powered Smart Study Assistant

📖 Project Overview

Slay The Syllabus is an AI-powered learning platform designed to help students convert long and complex study materials into short, structured, and easy-to-understand revision resources.

Students can upload PDFs, lecture notes, videos, images, or voice recordings, and the platform automatically generates summaries, key concepts, flashcards, quizzes, and revision notes.

The main goal of this project is to reduce study time, simplify learning, and help students prepare more efficiently for exams using AI-powered tools.

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🚀 Features

• 📄 PDF & Notes Summarizer – Convert long notes into short summaries
• 🎥 Video to Notes – Extract key concepts from lecture videos
• 🧠 Key Concept Generator – Identify important points from study material
• 🃏 Flashcard Generator – Create flashcards for quick revision
• ❓ AI Quiz Generator – Generate practice questions automatically
• 🗺️ Mind Map Generator – Visualize topics for better understanding
• 🎤 Voice Notes to Summary – Convert voice lectures into notes
• 🌍 Multilingual Summaries – Translate summaries into different languages
• 🤖 Doubt Solving Chatbot – Ask questions and get AI explanations
• 📅 AI Study Planner – Plan study schedules effectively

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⚙️ How It Works

1. User uploads study material (PDF, video, notes, image, or voice note).
2. The AI processes the content using Natural Language Processing (NLP).
3. Important concepts and information are extracted.
4. The system generates structured outputs like:
   • Summaries
   • Key Points
   • Flashcards
   • Quizzes
   • Mind Maps

These materials help students revise faster and understand concepts more effectively.

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💻 Tech Stack

Frontend

• HTML
• CSS
• JavaScript

AI Features

• AI Text Summarization
• Natural Language Processing (NLP)

Deployment

• Replit

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🎯 Objective

To build a fast, scalable, and intelligent AI learning platform that simplifies studying and helps students manage large amounts of academic content efficiently.

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🌟 Future Improvements

• Personalized AI learning paths
• Difficulty level analysis for topics
• Smart revision tracking system
• Mobile application version
• Gamified learning features
• Collaborative study groups

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👥 Team

Team Name: System Slayer

Leader: Aaryan Khobragade

Members:

• Aarya Deshkar

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📌 Project Status

🚧 Currently under development for hackathon demonstration.