Dataset Search and Download App:

This is a Flask-based web application that allows users to search for datasets on Kaggle and download them directly.
The app provides a user-friendly interface to interact with Kaggle's dataset repository, making it easier to find and retrieve datasets.

Features:

• Search for Datasets: Enter a search term to find datasets hosted on Kaggle.
• View Search Results: See a list of datasets that match your query, along with their titles.
• Download Datasets: Download selected datasets as .zip files directly from the application.

Files in the Repository:

Python Scripts:

1. App.py:

   • The main Flask application that handles routes and renders templates.
   • Routes:
     • /: Home page.
     • /search: Search for datasets.
     • /download/<path:dataset_ref>: Download the selected dataset.

2. kaggle_connect.py:

   • Handles interaction with the Kaggle API.
   • Functions:
     • search_datasets(search_term): Searches Kaggle for datasets matching the provided term.
     • download_dataset(dataset_ref): Downloads a dataset by its reference.

HTML Templates:

1. index.html:

   • Home page with a welcome message and a link to the search page.

2. search.html:

   • A form to input a search term for finding datasets.

3. search_results.html:

   • Displays the search results and provides download links for each dataset.

Prerequisites:

• Python 3.8+
• Kaggle API credentials (download your kaggle.json from Kaggle and place it in ~/.kaggle/ or the project root).

Installation:

1. Clone the repository:

   git clone https://github.com/yourusername/dataset-search-download.git
   cd dataset-search-download

2. Install the required dependencies:

   pip install -r requirements.txt

3. Set up Kaggle API credentials:

   • Place your kaggle.json file in the ~/.kaggle/ directory or in the root of the project.

Usage:

1. Run the Flask application:

   python App.py
   

2. Open your web browser and navigate to:

   http://127.0.0.1:5000/
   

3. Use the application to search for datasets, view results, and download datasets.

This is how the application will look after using the code:

1. After accessing http://127.0.0.1:5000/, you should see a page like the one shown below, and click the "Search for Datasets" button.
2. Then, after selecting "Search for Datasets". We enter the term we want to find. In this case, we are using the example "College"."
3. We will see a list of Datasets from which we will select one. In this case we are going to select the first dataset "College Basketball Dataset".
4. The system will save the .zip file of the selected dataset into the "Downloads folder".
5. After selecting the dataset we want, we can go back to the beginning to download another dataset.
6. Finally, it shows us the home page with a small message telling us the last .zip file we downloaded.

Project Structure:

.
├── App.py                # Main Flask application
├── kaggle_connect.py     # Kaggle API integration
├── templates/            # HTML templates
│   ├── index.html
│   ├── search.html
│   ├── search_results.html
├── dataset/              # Directory for downloaded datasets
└── README.md             # Project documentation

Notes:

• Ensure that the Kaggle API is properly authenticated to use this application.
• The downloaded datasets are saved in the dataset/ directory as .zip files.

Documentation:

• Kaggle API Documentation
• Flask Documentation