GenAI_Career_Assistant

A Resume–Job Fit Analysis chatbot built using Gradio, FAISS Vector Search, and the Hugging Face Inference API.
This Space hosts the GenAI Career Agent, a generative AI that analyzes user resumes, retrieves structured resume data through a vectorstore (FAISS), and evaluates how well a candidate fits any provided job description.

🚀 Features

• AI Career Coach – Helps users understand job fit, strengths, and areas for improvement.
• RAG Pipeline – Uses FAISS to retrieve relevant resume chunks.
• LLM-Powered Analysis – Uses a remote Hugging Face model via InferenceClient.
• Structured JSON Output including:
  • job_fit_score
  • fit_summary
  • strengths
  • missing_skills
  • recommendations
• Secure Token Handling with Hugging Face Space Secrets.

📌 Current Capability

✔ Resume Parsing & Analysis
The system currently parses the user's resume (pre-embedded with MiniLM) and produces job-fit analytics using RAG + LLM inference.

🛠️ Upcoming Features

🔜 GitHub Repo Intelligence

• Automatic retrieval of repositories
• Summarization of project impact
• Extraction of tech stack & coding patterns
• Integration into the job-fit score

🔜 LinkedIn Profile Integration

• Work history extraction
• Skill inference
• Keyword alignment
• Soft-skill assessment

These features will be integrated into the same RAG pipeline so the model can reason across Resume + GitHub + LinkedIn for a unified career profile.

🧠 How It Works

1. Resume data is pre-embedded using
   sentence-transformers/all-MiniLM-L6-v2.
2. Embeddings are stored inside
   data/vectorstores/.
3. The FAISS retriever fetches the most relevant resume sections based on the job description.
4. A custom prompt formats the retrieved text and sends it to the LLM.
5. The LLM generates structured JSON insights.

🗂️ Tech Stack

• Gradio 5 (ChatInterface front-end)
• LangChain Runnables
• FAISS Vector Search
• HuggingFace Embeddings
• Hugging Face Inference API

🔒 Token Handling

Set secrets in your Space

📜 Model Licensing & Notices

🧍 Personal / Educational Use

This is a personal project, intended solely for educational and career-analysis purposes. Users are solely responsible for how they use the outputs.