VeriScan is a Python-based mobile application developed during the SIH Hackathon 2023. It leverages machine learning, specifically the scikit-learn library with a Random Forest model, to determine whether a social media user is real or fake. This app is built using the Kivy framework for the user interface and provides a simple and effective way to verify the authenticity of social media profiles.
- Check the authenticity of social media profiles.
- Utilizes machine learning to predict the authenticity of a user.
- User-friendly interface built with Kivy for a seamless experience.
- Quick and efficient results.
- Fast and easy installation.
To install VeriScan on your mobile device, follow these steps:
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Clone this GitHub repository:
git clone https://github.com/Smart-India-Hackathon-Team/VeriScan -
Install the required Python packages using pip:
pip install -r requirements.txt -
Run the application:
python main.py -
The VeriScan app will open on your computer. You can then deploy it on your mobile device following Kivy's deployment guidelines.
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Launch the VeriScan app on your mobile device.
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Select the social media app
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Enter the profile url and press "Search" button to check profile information
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Click the "Detect" button.
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The app will use the machine learning model to predict whether the user is real or fake.
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Make an informed decision based on the app's prediction.
VeriScan uses scikit-learn with a Random Forest model to predict the authenticity of social media users. The model has been trained on a dataset of real and fake social media profiles to make accurate predictions.
This project is licensed under the MIT License - see the LICENSE file for details.
Developed by [Ananta, Arnav, Alviya, Karan, Siddharth, Tushita] for the SIH Hackathon 2023.