AI-Assisted Pharmacogenomic Risk Assessment frontend that parses genomic VCF files to detect gene variants and predicts drug-specific risks with explainable AI insights.

High-performance Python (FastAPI) backend for clinical pharmacogenomic analysis. Implements workflow orchestration for VCF parsing and CPIC guideline alignment.

A 5-stage Deep Packet Inspection pipeline for PCAP parsing, flow tracking, protocol dissection, rule-based filtering, and anomaly detection. Generates structured JSON/HTML reports with Isolation Forest-based traffic classification and 3-level risk scoring.

RAG-powered legal intelligence platform supporting document analysis, legal summarization, contextual IPC retrieval, and AI-assisted legal explanation. Built with FAISS vector search, Sentence Transformers, and Gemini API — deployed on Vercel and Hugging Face Spaces.