Hiring Assistant Chatbot

This is an interactive Streamlit application designed to streamline candidate profiling and technical interview processes.

The application leverages LangChain, Streamlit and Hugging Face Hub to dynamically generate professional questions, collect candidate profiles, and evaluate technical expertise based on their tech stack.

Features

1. Dynamic Profile Generation

   • Asks candidates a series of questions to create their profile.
   • Questions include details like full name, email, phone number, experience, desired position, location, and tech stack.

2. Technical Questioning

   • Generates context-aware, challenging technical questions based on the candidate's tech stack.
   • Tracks conversation history to avoid repetition and ensures tailored question generation.

3. Conversation Tracking

   • Maintains separate histories for profile generation and technical questioning.
   • Detects conversation-ending keywords and gracefully terminates interactions.

4. Data Persistence

   • Saves all candidate profiles and conversations into a JSON file for later evaluation.

File Structure:

├── app.py                 

    ├── main.py  # Main Streamlit application
    ├── htmlTemplates 

├── assets/ # screenshot of app

├── candidate_conversations/  # Folder for storing candidate data

├── README.md              # Project documentation

└── .env                   # Environment variables

Installation and Setup

1. pip install -r requirements.txt

2. Set up the .env file with your Hugging Face API key:

    UGGINGFACEHUB_API_TOKEN=<your_hugging_face_api_token>

4. streamlit run app.py