LoomGraph 🚀

Problem

Corporate onboarding is inefficient and non-personalized.

Solution

LoomGraph uses AI to:

• extract skills from resumes
• detect suitable roles
• identify skill gaps
• generate personalized learning paths

Features

• AI-powered skill extraction
• Role detection engine
• Skill gap analysis
• Readiness scoring
• Personalized roadmap generation

Tech Stack

• FastAPI
• React
• Gemini API

How it works

1. User inputs resume
2. System extracts skills
3. Matches with role
4. Identifies gaps
5. Generates roadmap

Setup Instructions

1. Clone the repository

git clone https://github.com/tamannaa-rath/loomGraph.git
cd loomGraph

2. Backend Setup

cd backend
python -m venv venv
venv\Scripts\activate   # For Windows
pip install -r requirements.txt

# Create a .env file inside the backend folder and add:
GOOGLE_API_KEY=your_api_key_here

# Run the backend server:
uvicorn main:app --reload

3. Frontend Setup

cd frontend
npm install
npm start

4. Open the App

• Frontend: http://localhost:3000
• Backend: http://127.0.0.1:8000

Impact

• Reduces onboarding time
• Personalized learning
• Improves employee productivity

Future Improvements

• Skill graph visualization
• Resume upload support
• User authentication
• Analytics dashboard