Building practical AI solutions, exploring machine learning models, and learning by coding step by step.
I'm a BCA (Artificial Intelligence & Machine Learning) student who loves understanding how things actually work behind the scenes — whether it's cleaning messy datasets, training custom ML models, or optimizing code line by line.
- 🎓 Education: Pursuing BCA in Artificial Intelligence & Machine Learning.
- 💡 Philosophy: Most of my learning happens by building real projects, experimenting with new concepts, and fixing mistakes rather than just reading theory.
- 🔭 Current Focus: Strengthening foundations in AI/ML, writing clean Python code, and applying deep learning to real-world datasets.
- ⚡ Fun Fact: I love turning complex data and raw ideas into practical, working software!
| Project | Description | Tech Stack |
|---|---|---|
| 💳 TrustScore AI Credit Risk | Full-stack enterprise AI credit risk evaluation platform with XGBoost & SHAP Explainable AI. | JavaScript Python XGBoost SHAP |
| 🩺 Health Triage Bot | AI tool providing preliminary health condition insights & care recommendations (home remedy vs doctor visit vs emergency). | Python AI NLP |
| 🎙️ Voice Emotion Detector | Deep Learning Speech Emotion Recognition (SER) system detecting 10 human emotions from audio (trained on RAVDESS, TESS & ESC-50). | Python PyTorch Librosa |
| 🌟 InfluenceIQ | AI platform for creator networking, analytics, and brand collaboration. | Python AI Analytics |