EduGenAI: Text In. Learning Out. 📚🎬🧠

by Team Idea_2_Implement

Welcome to EduGenAI, an open-source AI-powered virtual tutor that transforms textual learning material into personalized, engaging video lessons, complete with voiceovers, visual animations, and multilingual subtitles!

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🚀 What is EduGenAI?

EduGenAI is a modular, open-source platform designed to revolutionize education using the power of Generative AI. From generating study content to producing video explanations with human-like narration in multiple languages — EduGenAI automates the full educational content pipeline.

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🧩 Key Modules & Their Purpose

1. Web Tutor Interface (Frontend)

Location: /index.html + JavaScript
Purpose:

• User selects topic, difficulty level, and describes prior knowledge
• Generates a customized study guide using Gemini LLM
• User-friendly form-based interface

Tech Used:

• HTML + JS (vanilla)
• Backend integrated with a Flask/Streamlit app (via /generate-study-guide)

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2. AI-Powered Script Solver (Backend: Streamlit App)

Location: streamlit_math_solver.py
Purpose:

• Uses Gemini Pro LLM to generate step-by-step solutions for user-provided math problems
• Outputs a clear, human-readable solution with explanations

Tech Used:

• Streamlit UI
• Google Gemini API
• Python + dotenv for secure keys

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3. Text-to-Video Generator

Location: video_generation_pipeline.py
Purpose:

• Converts long-form educational text content (e.g., a concept explanation) into a 30-second video
• Steps:
  • Script segmentation (30 segments using NLTK)
  • Video frames generated using Stable Diffusion text-to-video
  • Voiceover using Coqui TTS
  • Subtitles generated via Whisper ASR & translated via Bhashini
  • Final video rendered with FFmpeg

Tech Used:

• Hugging Face Diffusers (Text-to-Video)
• Coqui TTS
• Whisper (OpenAI) for speech & subtitle generation
• FFmpeg for video rendering
• Torch, NLTK, and more

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🌍 Multilingual Magic

Thanks to Bhashini (Indian Lang Translation API) + Whisper, EduGenAI supports:

• 🎤 Hindi voiceover generation
• 📝 Accurate Devanagari subtitles
• 🌐 Easy extension to regional Indian languages

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💡 Use Cases

• 📘 School/College Tutors
• 🧑‍🏫 Personalized Learning Assistants
• 🧠 Inclusive Learning for Multilingual Users
• 🎓 NGOs & EdTechs promoting scalable, localized learning

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⚙️ How to Run Locally

# 1. Install requirements
pip install -r requirements.txt

# 2. Run Streamlit App for Tutor Interface & Math Solver
streamlit run streamlit_math_solver.py

# 3. Run Video Generator Script
python video_generation_pipeline.py