WattWise AI

WattWise AI transforms raw energy data into intelligent cost-saving insights for smarter, sustainable operations.

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Inspiration

WattWise AI was inspired by a real and recurring problem I observed in Indian industries: massive energy wastage despite the availability of detailed consumption data. During my interactions with manufacturing units, I noticed that energy usage was often tracked manually using spreadsheets, anomalies were detected only after high electricity bills arrived, and professional energy audits were expensive and infrequent.

A defining moment came when a factory manager showed me a monthly electricity bill running into lakhs of rupees and asked a simple question: “We have all this data, but how do we actually use it to save energy?” This highlighted a clear gap between data collection and actionable intelligence, which became the foundation for building WattWise AI.

What it does

WattWise AI is an intelligent energy analysis and optimization platform that converts raw energy consumption data into clear, actionable insights. Key capabilities include: Automated detection of abnormal energy consumption and spikes Department, equipment, and building-level energy analysis AI-powered recommendations using Google Gemini for energy optimization Historical comparison of uploads to track improvements over time Business-focused insights with estimated cost savings in INR The platform enables organizations to move from reactive energy management to proactive, data-driven decision-making.

How I built it

I built WattWise AI using a modular and scalable architecture: Technology Stack Backend: Python 3.11, Flask, SQLAlchemy Frontend: Jinja2 templates, Bootstrap 5, JavaScript Database: SQLite AI Integration: Google Gemini API with intelligent fallback logic Security: Flask-Login, CSRF protection, secure API key handling Development Approach Designed a structured database schema for users, energy data, insights, and AI recommendations Implemented CSV upload with validation and chunked processing for large datasets Built statistical models for anomaly detection and trend analysis Integrated Gemini AI to generate contextual recommendations Developed dashboards, filtering, and upload comparison features Focused on usability with clean UI, error handling, and responsive design

Challenges I ran into

Accurate anomaly detection: I fixed false positives by using dynamic baselines and statistical Z-score analysis instead of static thresholds. AI reliability and API handling: I implemented a smart fallback system to ensure the platform works even when AI services are unavailable. Large CSV file processing: I solved memory issues by using chunk-based data processing and optimized database inserts. Data format inconsistencies: I built a flexible CSV parser to handle variations in real-world energy datasets. Translating technical data into business value: I addressed this by presenting insights in terms of cost impact and potential savings.

Accomplishments that I'm proud of

Built a complete, end-to-end energy intelligence platform from scratch Achieved high accuracy in detecting energy anomalies with minimal false alerts Reduced energy analysis time from days to minutes Delivered AI-powered recommendations with clear business relevance Designed a resilient system with graceful handling of failures Created a solution tailored specifically for Indian industrial contexts

What I learned

Raw data alone is not valuable — insights and interpretation drive action AI works best as an assistant that augments human decision-making Domain understanding is critical for meaningful recommendations Simplicity and clarity are essential for user adoption Designing for reliability is as important as adding advanced features

What's next for WattWise AI

Planned future enhancements include: Mobile applications for real-time alerts and monitoring Predictive analytics for equipment failure and energy forecasting Integration with IoT energy meters for live data ingestion Automated reporting and export features Industry benchmarking and ESG-focused analytics My long-term vision is to make WattWise AI a comprehensive energy intelligence platform that helps organizations reduce costs, improve efficiency, and move toward sustainable operations.

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