π Currently Working On:
Developing projects with React and Express, tackling real-world challenges along the way. Exploring innovative solutions to computational problems in materials science through cutting-edge research.
π± Currently Learning:
Advanced Data Structures and Algorithms (DSA) to refine my problem-solving skills. Integrating computational methods into materials research for smarter solutions.
π€ Looking to Collaborate On:
Full-stack web development projects, especially those leveraging React and Node.js. Research initiatives in computational materials science or AI-driven materials engineering.
π§ Looking for Help With:
Diving deeper into algorithm optimization and exploring interdisciplinary applications of materials AI.
π¬ Ask Me About:
Full-stack development, research in computational materials, or efficient coding practices. Let me know how I can help, collaborate, or grow together! π
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Float-Fall-Bouncing
Float-Fall-Bouncing PublicGravity Simulator, part of bigger Physics Simulator hoping to complete one day
Python 1
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hand-gesture-recognition-mediapipe
hand-gesture-recognition-mediapipe PublicForked from kinivi/hand-gesture-recognition-mediapipe
This is a sample program that recognizes hand signs and finger gestures with a simple MLP using the detected key points. Handpose is estimated using MediaPipe.
Jupyter Notebook
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