SkillGapAI

Deep Learning Project

A Deep Learning-based system for personalized skill gap analysis and learning path generation.

Overview

SkillGapAI is an AI-powered platform designed to help users bridge the gap between their current skills and desired career goals. It provides a structured learning plan, tracks progress, adjusts dynamically, and integrates scheduling to offer a personalized learning experience.

Features

• Skill Gap Analysis – Identifies gaps between current skills and career goals.
• Learning Path Generation – Creates structured learning plans with timelines.
• Progress Tracking – Logs user progress based on completed tasks and time spent.
• Dynamic Adjustment – Adapts the learning plan based on user progress and feedback.
• Schedule Integration – Aligns learning with the user’s availability.
• Feedback Loop – Allows users to rate task difficulty for continuous improvement.

Tech Stack

• Deep Learning – TensorFlow / PyTorch
• Backend – Flask / FastAPI
• Frontend – React.js
• Database – PostgreSQL / Firebase
• Version Control – GitHub

Project Setup

1. Clone the repository

   git clone https://github.com/your-username/SkillGapAI.git
   cd SkillGapAI

2. Install dependencies

   • For Python dependencies (Backend):

     pip install -r requirements.txt

   • For React (Frontend) dependencies:

     npm install

3. Run the application

   • To start the Backend:

     python app.py

   • To start the Frontend:

     npm start

   The backend should now be running on http://localhost:5000, and the frontend on http://localhost:3000 by default.