A collection of things I've built
10 projects across AI, Healthcare & Data Engineering
Chatbot for natural language interactions with SQL databases, enabling real-time visualization and data exploration insights.

RAG system combining text and image understanding for personalized recipe suggestions with explainable AI.

Multi-step RAG pipeline with LangGraph for PDF Q&A. Supports voice input via Whisper and text chat with transparency into retrieved chunks.

Multi-agent orchestration system built on LangGraph with router-driven execution, dependency-aware parallel specialist dispatch, reflection loops, and optional human-in-the-loop approvals.

Automated analysis of bacterial susceptibility zones using image classification, object detection, and pixel-level segmentation.

Multimodal AI app for voice-based interaction over visual content using Groq, Whisper, and LLaMA for end-to-end speech understanding.
Deep learning pipeline using modified ResNet18 for chest X-ray classification with Class Activation Maps for visual interpretability.
End-to-end medical imaging review project that accepts a thyroid ultrasound still image, runs TensorFlow-based binary classification, generates a Grad-CAM attention map for interpretability, and exports the result as a DOCX report.

End-to-end pipeline to manage, streamline, and analyze YouTube trending data based on categories and metrics.

Comprehensive data warehousing solution demonstrating industry best practices from schema design to actionable analytics.
