AI Learning Hub

A Python-based web application that serves as a centralized search hub for AI-related tutorials, handbooks, research materials, coding resources, and GitHub repositories.

Features

• Advanced AI Resource Search Engine
• Categorized Learning Materials
• GitHub Repository Explorer
• Bookmark & Save Favorite Resources
• AI-Powered Chatbot for Assistance
• User-Contributed Resources & Community Engagement

Prerequisites

• Python 3.8+
• Node.js 14+
• Elasticsearch 7.x
• npm or yarn

Local Setup

Backend Setup

1. Create and activate virtual environment:

cd backend
python -m venv venv
source venv/bin/activate  # On Windows use: venv\Scripts\activate

2. Install dependencies:

pip install -r requirements.txt

3. Make sure Elasticsearch is running on 127.0.0.1:9200

4. Initialize the database:

python app/utils/es_setup.py

5. Start the Flask server:

python run.py

Frontend Setup

1. Install dependencies:

cd frontend
npm install

2. Start the development server:

npm start

Usage

1. Open your browser and navigate to http://127.0.0.1:3000
2. Use the search bar to find AI resources
3. Filter results by category and tags
4. Click on resources to view details

Project Structure

LEARN.AI/
├── backend/
│   ├── app/
│   │   ├── __init__.py
│   │   ├── routes/
│   │   ├── services/
│   │   └── utils/
│   ├── requirements.txt
│   └── run.py
└── frontend/
    ├── public/
    ├── src/
    │   ├── components/
    │   ├── contexts
    │   ├── services/
    │   └── App.js
    └── package.json

Deployment

This project is deployed using Vercel, Render, and Bonsai Elastic for seamless hosting.

• Vercel hosts the React Frontend.
• Render hosts the Flask Backend.
• Bonsai Elastic provides an Elasticsearch instance for storing all the app data.

Deployment : Learn.ai