• Project Description
• Technologies Used
• Setup
• Dependencies
• Build Instructions
• Repository Structure

The JoSAA Analysis portal aims to provide users with detailed information about participating institutes, seat availability, and past trends. By leveraging data scraping tools and interactive charts, users can analyze previous year data to make informed decisions.

• Data Scraping: Selenium and BeautifulSoup
• Web Development: HTML, CSS, JavaScript, Django
• Charts: Chart.js
• Database: SQLite3

To avoid altering your environment, initialize a Python virtual environment:

python -m venv --prompt coolname .venv

You will now see a hidden directory .venv containing your virtual environment

To activate your environment

For Linux/Mac:

source .venv/bin/activate

For Windows(Powershell)

.venv\Scripts\Activate.ps1

The packages required for this project are listed in requirements.txt. To install these packages:

pip install -r requirements.txt

1. Ensure your virtual Environment is activated
2. Navigate to the project directory (Insight/).
3. Run the Django development server:

python manage.py runserver

4. Open your browser and go to [http://127.0.0.1:8000] or [http://localhost:8000] to view the website.
5. If you want to forward it to a specific port, say 9090

python manage.py runserver 9090

• requirements.txt: List of dependencies for the project.
• notebooks/: Jupyter notebooks used for datascraping.
• insight/: Django project files.