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This project aims to detect fraudulent electricity and gas consumption activities, such as meter tampering and energy theft, using machine learning models.
N/A
Leverage AI to detect fraudulent energy usage patterns, ensuring smarter energy consumption, cost savings, and a sustainable future for utility companies and consumers alike.
PowerPulse: Monitoring Energy Flows to Spot Fraud Instantly.
We have been able to conquer the great problem
hackathon submission
Fraud Detection on given dataset optimised using following techniques: 1. Feature engineering on datetime features 2. Random undersampling 3. SMOTETomek oversampling 4. HP tuning using optuna
dsaic hackathon
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