SecureAI: Safeguarding Digital Transactions and Data

Inspiration

Impactful Contribution to Cybersecurity Wanted to innovate as well as find ways to solve the problem using AI

What it does

Anomaly detection which detects unusual patterns in transaction data that indicates fraudulent activities.

How we built it

1. Gathered requirements 2.Collected the necessary data 3.Model development
2. Integration
3. Maintenance ## Challenges we ran into 1.Data privacy
4. Evaluation
5. Real-Time Processing
6. Anomaly Detection Challenges 5.Time Constraints ## Accomplishments that we're proud of
7. Scalability and performance 2.Effective Anomaly Detection 3.Data privacy 4.Outcomes
8. Documentation ## What we learned
9. Machine Learning Techniques
10. Data Handling 3.Real- Time processing 4.Model Evaluation
11. Project Management
12. Innovation ## What's next for SecureAI: Safeguarding Digital Transactions and Data 1.Enhancing model performance
13. Scaling 3.Integration
14. User Experience

Built With

• amazon-web-services
• fastapi
• numpy
• pandas
• python
• scikit-learn
• sql