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Dash Board
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login activity (input)
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login analysis img1(risk prediction)
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login analysis img2 (Behaviour Indicators & Visualization)
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login analysis img3 (AI report page1)
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login analysis img4 (AI report page2)
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login analysis img5 (AI report page3)
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history Tracker (also we can download file in .csv format)
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About project
Inspiration
TheGuard AI was inspired by the growing need for digital account security and fraud prevention. We wanted to build a solution that could identify suspicious account activities and help users understand potential security threats.
What it does
TheGuard AI is an AI-powered account monitoring system that analyzes account activity, detects unusual patterns, and identifies potential risks. It provides risk-level indicators and visual insights through an interactive dashboard.
How we built it
We built TheGuard AI using Python and Streamlit for the application and dashboard. Pandas and NumPy were used for data processing, Plotly for visualizations, Isolation Forest for anomaly detection, and AI API integration for intelligent analysis.
Challenges we ran into
Some major challenges included integrating AI APIs, handling and processing data, identifying unusual activity accurately, and creating a clean, interactive dashboard. We also worked on making the different components work together smoothly.
Accomplishments that we're proud of
We are proud to have developed a working AI-powered security application that combines machine learning, data analysis, and AI integration. Building an interactive dashboard with risk detection and visual insights was a major achievement.
What we learned
Through this project, we learned how to apply machine learning to real-world problems, work with AI APIs, process data using Python, and build interactive applications using Streamlit. We also gained experience in debugging and integrating different technologies.
What's next for TheGuard AI
Our future plans include improving anomaly detection accuracy, introducing user authentication, adding advanced security features, and enhancing AI-powered insights. We also want to redesign and improve the user interface, as the current design is quite basic, to make it more modern, attractive, and user-friendly.
Built With
- account-security
- ai
- anomaly-detection
- api-integration
- artificial-intelligence
- cybersecurity
- data-analytics
- data-science
- data-visualization
- fintech
- fraud-detection
- fraud-prevention
- isolation-forest
- machine-learning
- numpy
- pandas
- plotly
- python
- python-development
- risk-analysis
- security-dashboard
- streamlit
