AI Resume Summarizer & Career Navigator

• Tech Stack: Python, Streamlit, Gemini API, RAG (Retrieval-Augmented Generation), NLP, ChromaDB, Apify API
• Github URL: Project Link

A Retrieval-Augmented Generation (RAG) powered chatbot that assists students and job seekers by summarizing resumes, identifying key skills, and mapping them to career opportunities. The system integrates document retrieval with large language models (Gemini API) to deliver accurate, context-aware career guidance.

Beyond summarization, it recommends relevant job roles, analyzes market trends, and provides skill-gap insights, all through an interactive conversational interface.

Key Features & Achievements

• Prototyped a RAG-driven career chatbot during a 2-hour hackathon, using Gemini API to summarize resumes and suggest career trajectories.
• Integrated Apify API to fetch LinkedIn job postings, then analyzed a dataset of 2,500+ roles for salary patterns and demand insights.
• Built an interactive Streamlit dashboard showcasing skill-gap analysis, salary distribution, and job availability through dynamic visualizations.