An AI-powered system for visualizing chemical molecules in 3D, converting molecular data into interactive 3D models and enabling experiential science learning through visualization and voice-based interaction.
Understanding molecular structures through textbooks is often abstract and difficult.
This project bridges that gap by generating 3D molecular models from chemical data and enabling users to visualize, interact, and explore molecules in a more intuitive way.
The system integrates Python automation, Blender scripting, and basic web interfaces to support molecule generation, visualization, and interaction.
- 🧬 Generate molecular structures from XYZ data
- 🎨 Export 3D molecule models using Blender automation
- 🗣️ Voice-assisted interaction for user commands
- 🌐 Web-based interface using HTML templates
- 📦 Lightweight codebase (no large models or binaries committed)
- Programming Language: Python
- 3D Tools: Blender (Python scripting)
- Web: HTML, CSS (Templates)
- AI / Logic: Python-based processing
- Automation: Blender scripting for GLB export
[Note : You need to upload a llm model for it's explaination]
sample output: