Chat-with-Resume

Overview

Chat with Resume is an AI-powered web application that allows users to interact with their resumes through various CoAgents. The app leverages the capabilities of CopilotKit and LangGraph to provide a seamless experience in resume evaluation, job tailoring, and interview preparation.

Tweet link

https://x.com/sayantanpal100/status/1842891246383010206?t=6r6ceic4SreV1AOpdhrDyw&s=35

Features

• Upload and Parse Resumes: Users can upload their resumes, which will be parsed and made available for chat.
• AI Chat with CoAgents: Interact with different AI agents for:
  • Resume Evaluation: Get feedback on your resume.
  • Job Tailoring: Tailor your resume according to specific job descriptions.
  • Interview Preparation: Simulate interview questions based on your resume.
• Clean and Modern UI: A user-friendly interface built with Material-UI for an engaging experience.
• Responsive Design: Works well on various devices and screen sizes.

Architecture

The app is composed of three main components:

1. Frontend: A React.js application that allows users to upload resumes and interact with AI agents.
2. Backend: A Node.js and Express server that handles resume uploads, parsing, and communication with AI models.
3. CoAgents: Different AI agents that provide tailored interactions based on the user's resume.

Technologies Used

• Frontend: React, Material-UI, CopilotKit
• Backend: Node.js, Express, Multer, LangGraph
• Deployment: GitHub for version control

Setup Instructions

Prerequisites

• Node.js (v14 or later)
• Git for version control

Running the Application

1. Clone the repository:

   git clone https://github.com/sayantan007pal/Chat-with-Resume.git
   cd Chat-with-Resume

2. Navigate to the server folder:

   cd server

3. Install the backend dependencies:

   npm install express multer path langgraph

4. Navigate back to the root folder for the frontend:

   cd ..

5. Install the frontend dependencies:

   npm install

Running the Application

To run the application, you'll need to start both the backend and frontend servers.

Step 1: Start the Backend Server

1. Navigate to the server directory:

   cd server

2. Start the backend server:

   node server.js
   

Step 2: Start the Frontend

1. Open a new terminal, navigate back to the root directory:

   cd ..
   

2. Start the frontend server:

   npm start
   

Step 3: Access the Application Open your web browser and navigate to:

 http://localhost:3000

You can now upload your resume and interact with the AI agents!

Directory Structure

frontend/: Contains the React.js frontend code. server/: Contains the Node.js and Express server code that handles resume uploads and AI interactions.

Troubleshooting

Cannot find module 'express': Ensure you have installed the backend dependencies in the server folder. Error: src refspec main does not match any: Make sure you are on the correct branch or that you have committed changes before pushing. Another git process seems to be running: Ensure all Git processes are terminated and try again.

Future Improvements

Enhanced AI Features: Integrate more advanced AI models for better resume evaluation and tailoring. User Authentication: Implement user authentication for a personalized experience. Expanded Job Market Analysis: Integrate job market data to provide tailored suggestions based on trends.

Contributing

Contributions are welcome! If you'd like to contribute to this project, please follow these steps:

1. Fork the repository.
2. Create a new branch (git checkout -b feature/YourFeature).
3. Make your changes and commit them (git commit -m 'Add some feature').
4. Push to the branch (git push origin feature/YourFeature).
5. Create a new Pull Request.

License

This project is licensed under the MIT License. See the LICENSE file for more information.

Acknowledgments

1. CopilotKit for providing an easy way to integrate AI copilots.
2. LangGraph for enabling interaction with CoAgents.