Metallurgy & Materials Engineering Student | AI Enthusiast | Material Informatics
I'm a Metallurgy & Materials Engineering student exploring the intersection of Materials Science, Artificial Intelligence, and Software Engineering.
I'm interested in using AI to solve practical engineering problems and make technical knowledge more accessible and useful.
My current direction:
Materials Science → Material Data → AI → Engineering Solutions
I'm particularly interested in Material Informatics, Computational Materials Science, Generative AI, and AI-powered engineering applications.
MaterialMind AI is an AI-powered engineering assistant designed to help engineers and students select suitable materials for a given application.
The system guides users through engineering requirements such as:
Application • Temperature • Environment • Strength • Weight Priority • Budget • Quantity
It then provides material recommendations with engineering reasoning and supporting information.
- 🧠 AI-assisted material selection
- 🔬 Engineering requirement analysis
- 📊 Material database-based recommendations
- 🤖 Gemini-powered reasoning
- ⚙️ Engineering decision support
- 📄 Professional engineering report generation
Python FastAPI Gemini SQLite REST API AI
- Material Informatics
- Computational Materials Science
- Engineering Material Selection
- Materials Data
- Metallurgy
- Generative AI
- Large Language Models
- Retrieval-Augmented Generation
- AI-powered applications
- Machine Learning
- Python
- FastAPI
- REST APIs
- Databases
- Git & GitHub
I'm interested in building systems where engineering knowledge and AI work together:
ENGINEERING PROBLEM
↓
REQUIREMENTS & DATA
↓
MATERIAL KNOWLEDGE
↓
AI / LLM
↓
ENGINEERING INSIGHT
↓
PRACTICAL DECISION