DhatchineshBheemRao/SMART-CAMPUS-ENERGY-OPTIMIZATION

SMART-CAMPUS-ENERGY-OPTIMIZATION functions primarily as a conceptual prototype or academic capstone project rather than a production-ready system. With 25 stars and zero forks, the project lacks the community momentum or developer adoption required to establish a moat. The technical approach—combining IoT sensors with standard ML regression and anomaly detection—is a well-documented pattern in the Smart Building sector. It faces intense competition from established industrial giants like Schneider Electric (EcoStruxure), Siemens (Navigator), and Honeywell, as well as robust open-source ecosystems like Home Assistant or OpenHAB which can be configured for campus use. The 'AR visualization' component is a differentiator for a demo but adds little technical defensibility. Platform risk is high because cloud providers (AWS IoT SiteWise, Azure IoT) provide managed services that replace the manual orchestration this project attempts. It is highly susceptible to displacement by more mature, integrated Building Management Systems (BMS).