WattWise AI

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  dashboard

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  Energy Consumption Analytics

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  Alexa+ Energy Assistant

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  Household Appliance Inventory

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  Electricity Bill Estimator & Projection

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  Unusual Consumption Detection Center

Inspiration

WattWise AI was inspired by a simple problem: many households know their electricity bills are increasing, but they don't know exactly why or what they can do about it. I wanted to build a platform that makes energy consumption easier to understand and helps people make smarter decisions about electricity usage.

What it does

WattWise AI combines an interactive dashboard with an AI-powered energy assistant. It provides appliance-level consumption insights, detects unusual usage patterns, estimates electricity bills, and offers practical energy-saving recommendations. The assistant can use backend tools to analyze readings and explain changes in consumption.

How I built it

I developed the frontend using React and the backend using Python Flask, with SQLite for storing energy readings. I also implemented backend tools for analyzing consumption, comparing usage across periods, and identifying anomalies. The interface brings these features together in a single, easy-to-use experience.

Challenges I faced

One of the main challenges was connecting the dashboard, energy calculations, and AI assistant so they could work together consistently. I also worked on handling usage data reliably, testing backend functionality, and designing an interface that presents technical information in a simple way.

What I learned

Building WattWise AI helped me strengthen my skills in full-stack development, API integration, data analysis, and testing. It also taught me that a useful AI application needs more than a conversational interface: its responses should be grounded in reliable data and provide practical value to users.

What's next

I aim to strengthen the cloud AI integration and further improve the accuracy and personalization of energy insights. My goal is to make WattWise AI a practical tool that helps households understand their consumption, reduce avoidable electricity waste, and make more informed energy decisions.

Built With

• ai
• anomaly-detection
• automation
• css
• data-analytics
• data-visualization
• energy-efficiency
• flask
• generative-ai
• html
• javascript
• machine-learning
• python
• react
• rest-api
• smart-home
• sqlite