Ask The Resume Chatbot

Overview

Engage recruiters and hiring managers effortlessly with a chatbot that personifies your professional journey. The Professional Resume Chatbot is designed for interactive exploration of a job seeker's credentials, including resumes, CVs, publications, and projects. Hosted on Heroku and utilizing AWS Serverless Application Model (SAM) for secure logging, this chatbot offers a personalized experience through session histories.

Live Demo: bearden-resume-chatbot.com

Table of Contents

• Getting Started
• Data Vector Stores
• Custom Domain
• Acknowledgments
• License
• Contact

Getting Started

Preparation

1. Populate res/data directories with the applicant's files (text files preferred for cost optimization).
2. Update documents_info.json for chatbot tool selection.

Indexing

• Run create_vector_store.py to establish index databases via FAISS.

Deployment

• Prepare Heroku deployment (ensure gunicorn in requirements.txt).
• Configure key-value pairs on Heroku.
• Build and deploy using SAM, must specify Docker context DOCKER_ENDPOINT. Follow these instructions to determine location of host.

  DOCKER_HOST=DOCKER_ENDPOINT sam build --use-container -t template.yaml
  DOCKER_HOST=DOCKER_ENDPOINT sam deploy --guided
  

• Run the following commands to deploy on heroku:

  git add .
  git commit -m "initial commit"
  git push heroku main

Data Vector Stores

• Resume
• CV
• Website
• Projects
• Publications

Custom Domain (Optional)

For a personalized domain, set up via Cloudflare. Cloudflare setup guide.

Acknowledgments

• Adapted from a Dash Gallery application: Embedchain-Fastdash
• Conversational retrieval agent utility: Langchain Documentation
• Chat vector database enhancement: Langchain Documentation

License

This project is licensed under the MIT License - see the LICENSE file for details.

Contact

For any queries or contributions, feel free to contact me at seanbearden@seanbearden.com.