Built a context-aware AI chatbot for the JobsForHer Foundation platform to assist women in discovering job opportunities, events, and mentorship programs. The chatbot supports multi-turn conversations, detailed job info (salary, skills, links), multilingual FAQs, and user authentication—making the job search experience interactive, inclusive, and efficient. Key technologies included semantic search via SentenceTransformers, retrieval-augmented generation (RAG), and real-time data retrieval using CSV, JSON, and web scraping. Built-in bias detection ensured ethical and inclusive responses. Key Features: Multi-turn conversation support with context tracking Semantic job search using vector similarity (SentenceTransformers) Job info extraction: salary, skills, contract type, job links User login/signup via Supabase Real-time data via CSV, JSON, and web scraping Built-in bias detection for ethical AI behavior