Sahayak.AI: The Omni-Lingual Educational AI Assistant

Sahayak.AI ("Helper" in Hindi) is a next-generation educational assistant designed to democratize access to quality learning. It adapts to the user's language, intellectual level, and style, providing deep, multimedia-rich explanations.

🔗 Live Demo: https://sahayakai-okwu.onrender.com/app/

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🚀 Key Features

1. 🧠 Intellectual Mirroring & Memory

• Adaptive Persona: The AI analyzes your tone. If you speak academically, it responds with profound depth. If you are casual, it relaxes while maintaining accuracy.
• Context Awareness: It remembers your name, previous topics, and learning progress throughout the session.

2. 🗣️ Omni-Lingual & Voice-First

• Multilingual Support: Chat in Hindi, Tamil, Kannada, Telugu, or English. The AI understands all and replies in your language.
• Hybrid Voice Engine: Automatically selects the best available voice (English Male/British preference) to provide a premium auditory experience.

3. 🎥 Multimedia Generation

• AI Video: Ask for a video (e.g., "Show me a fox running"), and it generates one using Hugging Face ModelScope (Text-to-Video).
  • Fallback: If the complex model is busy, it instantly creates a high-quality "Motion Slide" (Image-to-Video) so you never get an error.
• Smart PPT: Click "Download PPT" for any topic, and the system uses the LLM (Groq) to write 5 actual content slides (Introduction, Key Concepts, Summary) for you.
• YouTube Integration: Just say "Search YouTube for quantum physics" to get instant video results.

4. ⚡ Hyper-Fast Architecture

• Groq LPU: Powered by Llama 3.3 70B on Groq, ensuring near-instantaneous text responses.
• Hybrid Protocol: Uses a smart mix of Plain Text (for speed/depth) and JSON (for tools) to minimize latency and errors.

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🛠️ Deployment Guide (Render)

This project is configured for 1-Click Deployment on Render.

1. Fork/Clone this repo.
2. Go to Render Dashboard -> New Web Service.
3. Connect your repository (saurabhhhcodes/SahayakAI).
4. Settings:
   • Runtime: Python 3
   • Build Command: pip install -r backend/requirements.txt
   • Start Command: cd backend && uvicorn app.main:app --host 0.0.0.0 --port $PORT
5. Environment Variables (Critical):
   • PYTHON_VERSION: 3.10.0
   • GROQ_API_KEY: Get from Groq Cloud
   • HF_TOKEN: Get from Hugging Face

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💻 Local Development

1. Clone:

   git clone https://github.com/saurabhhhcodes/SahayakAI.git
   cd SahayakAI

2. Install Dependencies:

   pip install -r backend/requirements.txt

3. Run Server:

   cd backend
   uvicorn app.main:app --host 0.0.0.0 --port 8000

   Open http://localhost:8000/app/ in your browser.

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🤝 Contributing

Open Source education is the future. Feel free to fork, submit PRs, or suggest features!

Created by: Saurabh Bajpai (saurabhhhcodes)