metadata

title: MaterialScienceGPT
colorFrom: purple
colorTo: yellow
sdk: gradio
sdk_version: 5.25.0
app_file: app.py
pinned: false
license: mit
short_description: 'GPT for Materials Science appplications '

🧪 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

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

🧠 Powered By

Groq API – Ultra-fast inference using LLaMA 3.1-8B
Gradio – 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