- Demo
- Overview
- Motivation
- Installation
- Deployement on Cpanel
- Directory Tree
- Bug / Feature Request
- Future scope of project
- Credits
Link: https://sajid.engineer/frauddetect/
Note: If the website link provided above not working that means the deployment has been stopped. Sorry for the inconvenience.
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Please do ⭐ the repository, if it helped you in anyway.
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A glimpse of the web app:
This is a Flask web app which detects fraud.You need to fill out the details of your transactions and can see if the transaction was fraud or not.
I started to learn Data Sience during second year of my college as this subject intrigued me quite a lot. So i started with Machine Learning first and came to know mathematics behind all supervised as well as unsupervised models. Finally it is important to work on application (real world application) to actually make a difference.
The Code is written in Python 3.10.10. If you don't have Python installed you can find it here. If you are using a lower version of Python you can upgrade using the pip package, ensuring you have the latest version of pip. To install the required packages and libraries, run this command in the project directory after cloning the repository:
pip install -r requirements.txtClick here to see how to deploy your machine learning model on Cpanel.
├── resource
│ ├── Fraud-Detection.gif
├── static
│ ├── css
│ ├── style.css
├── template
│ ├── index.html
│ ├── result.html
├── .gitattributes
├── .gitignore
├── Fraud_detection.ipynb
├── LICENSE.md
├── Procfile
├── README.md
├── app.py
├── frauddetection.csv
├── requirements.txt
├── fraud_prediction.pkl
If you find a bug (the website couldn't handle the query and / or gave undesired results), kindly open an issue here by including your search query and the expected result
- Use multiple Algorithms
- Optimize Flask app.py
- Front-End
- You can get the Dataset link here