🚀 AI-Powered Career Pathfinder Navigator

An intelligent career guidance platform that analyzes skill gaps and generates personalized learning roadmaps using AI agents. This project leverages OpenAI's GPT-4o and LangGraph to provide a comprehensive career assessment and generate a personalized learning path with curated resources to help users transition into their dream tech roles.

✨ Key Features

• Intelligent Skill Analysis: Extracts technical skills from PDF and DOCX resumes using AI.
• Manual Skill Entry: Allows users to add skills manually for quick analysis.
• Role Readiness Assessment: Evaluates user skills against industry-standard profiles for over 8 technical careers.
• Personalized Learning Roadmaps: Generates a 3-phase learning path (Foundation, Applied, Capstone) with real course URLs from platforms like Coursera, Udemy, and YouTube.
• Multi-Agent AI Pipeline: Utilizes a sophisticated multi-agent system built with LangGraph for a comprehensive and accurate analysis.
• Performance Analytics: Tracks and displays real-time execution metrics.
• Responsive Web Interface: A clean and intuitive user interface built with HTML, CSS, and JavaScript.

🛠️ Technology Stack

Category	Technologies
Backend	Flask
AI & Machine Learning	LangGraph, LangChain, OpenAI GPT-4o
Frontend	HTML5, CSS3, Vanilla JavaScript
Data Processing	PyPDF2, python-docx, JSON
Deployment	Render
Version Control	Git, GitHub
Environment Variables	OPENAI_API_KEY , LANGSMITH_API_KEY

📸 Screenshots

Here are a few screenshots of the application in action:

Screenshot 1	Screenshot 2
Skill Analysis & Readiness Assessment	Personalized Roadmap Generation

🚀 Live Demo

You can view a live demo of the deployed project here:

AI Career Pathfinder Navigator

👥 Team Members

This project was developed by a dedicated team of five individuals:

• Nishant Narudkar
• Saksham Shukla
• Vatsal Parmar
• Maitreya Pawar
• Aamir Sarang

📁 Project Structure

AI-Powered-Career-Pathfinder-Navigator/
├── agents/
│   ├── career_logger.py
│   ├── career_pathfinder_optimized.py
│   └── role_readiness_agent.py
├── backend/
│   ├── uploads/
│   └── app.py
├── data/
│   ├── courses.json
│   └── job_roles.json
├── deployment/
│   ├── procfile
│   └── render.yaml
├── docs/
│   └── research/
├── frontend/
│   ├── static/
│   │   ├── animations.js
│   │   ├── script.js
│   │   ├── script-new.js
│   │   ├── styles.css
│   │   ├── styles-new.css
│   │   ├── styles-components.css
│   │   ├── styles-credits.css
│   │   ├── styles-modern.css
│   │   └── styles-roadmap.css
│   └── templates/
│       └── index.html
├── .env
├── .gitignore
├── LICENSE
├── README.md
└── requirements.txt

🚀 Quick Start Guide

Prerequisites

• Python 3.9 or higher
• An OpenAI API key
• A LangSmith API key (optional, for monitoring)

Installation

1. Clone the repository

   git clone [https://github.com/nishnarudkar/ai-powered-career-pathfinder-navigator.git](https://github.com/nishnarudkar/ai-powered-career-pathfinder-navigator.git)
   cd ai-powered-career-pathfinder-navigator

2. Install the dependencies

   pip install -r requirements.txt

3. Set up the environment variables

   • Create a file named .env in the root directory.
   • Add your API keys to the .env file:

     OPENAI_API_KEY=your_openai_api_key_here
     LANGSMITH_API_KEY=your_langsmith_api_key_here
     

4. Run the application

   python backend/app.py

5. Access the application Open your browser and navigate to http://127.0.0.1:5000.

📄 License

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