This repository contains my personal experiments, structured learning, and project implementations in Artificial Intelligence, Deep Learning, and space-inspired computational thinking.
It serves as a working lab where ideas move from theory → experimentation → visualization → evaluation.
The site is deployed using GitHub Pages and showcases selected projects in a structured and minimal format.
This repository is used to:
- Develop and document AI learning projects
- Experiment with sequence models (RNN, GRU, LSTM)
- Build end-to-end ML pipelines
- Visualize model performance and evaluation metrics
- Maintain a structured project portfolio
It evolves continuously as new experiments are added.
- ✅ Sentiment Analysis using Embeddings + RNN / GRU / LSTM
- ⏳ Tranformer-based sequence modeling (future)
index.html → Homepage projects/ → Project briefings
The website is deployed via GitHub Pages with a custom domain:
This repository is not just a code archive.
It reflects:
- Structured learning
- Iterative experimentation
- Model evaluation discipline
- Clear communication of technical work
The goal is clarity, not clutter.
This repository contains personal educational and experimental work.
Unless otherwise stated, code and content are for learning and portfolio purposes.