shivrajkarewar/MaterialScienceGPT

🧪 Materials Science Expert Chatbot

Welcome to the Materials Science Expert Chatbot — an AI-powered assistant specialized in helping you choose the best materials for specific applications.

This chatbot is powered by the Groq API (LLaMA 3.1-8B) and is tailored to only respond to Materials Science-related queries.

🧑‍🔬 Built For Highschool Student Chemistry & Physics enthusiasts Computational Scientists Materials scientists Engineering students Product designers and R&D teams Anyone interested in smart material selection using AI

🔍 What Can This Chatbot Do?

• —✅ Suggest the top 3 materials for a given application
• —✅ Explain the required properties for the application
• —✅ Provide a side-by-side comparison table of key material properties (mechanical, thermal, chemical)
• —✅ Recommend suitable materials based on different scenarios
• —❌ Will not respond to unrelated questions (e.g., history, general knowledge)

💬 Example Questions

You can ask things like:

• —What are the best corrosion-resistant materials for marine environments (e.g., desalination)?
• —Which materials are ideal for solar panel coatings and desert heat management?
• —What materials are used for aerospace structures in extreme climates?
• —What advanced materials are used in electric vehicles and batteries in the UAE?
• —How can one leverage AI/ML techniques in Materials Science?

The bot will return a clean, structured comparison of the best material options along with their justifications.

🚀 How to Use

1. 1.Type your question in the textbox (e.g., “Best materials for aerospace applications”)
2. 2.Click Submit (orange button) or press Enter
3. 3.View the expert response including a materials comparison table
4. 4.Browse popular questions for inspiration

🧠 Powered By

• —[Groq API](https://groq.com/) – Ultra-fast inference using LLaMA 3.1-8B
• —[Gradio](https://gradio.app/) – Beautiful and interactive UI
• —Python – Backend glue and logic
• —Optionally expandable with:
• —CSV/PDF table downloads
• —CIF/3D material structure viewing
• —AI/ML integration for predictive material selection

🔐 Environment Variables

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference