Artifacts
A collection of tools, experiments, and contributions to the open source community. Built with passion, maintained with care.
AI-powered mobile nutrition assistant that analyzes food images for calorie and macronutrient estimation. Combines ML-based meal recognition with FastAPI backend inference and personalized dietary insights.
Ensemble of ResNet, DenseNet, and EfficientNet to detect diabetic retinopathy. Deployed via Flask. MLOps ready.
Interactive Python application for visualizing Formula 1 telemetry and replaying race events. Integrates real-time telemetry parsing with high-performance graphical rendering.
Developed a plant pathology classification model with extensive augmentation (+40% dataset expansion). Integrated Grad-CAM heatmaps to enhance agricultural decision transparency and trust.
Built a carbon footprint estimation platform predicting CO₂e emissions per dollar spent using emission factor modeling. Designed for sustainable supply-chain analytics with full-stack deployment on Netlify.
Implemented advanced object segmentation using Segment Anything Model 2 (SAM 2) with multi-prompt inference support. Enables precise mask generation via point and bounding-box guidance.
Designed a transfer-learning-based CNN for early-stage liver fibrosis detection from ultrasound scans. Integrated focal loss for class imbalance and Grad-CAM for interpretable diagnostic visualizations.
A React app powered by Gemini API to convert code from one language to another. This project is made just to learn react and not for production.