🌟 Inspiration We were inspired by the imbalance between energy generation and consumption in our communities. Many households with solar panels often produce excess electricity that goes unused, while nearby homes experience shortages or power cuts. This gap motivated us to design a solution that enables efficient sharing of renewable energy at a local level.
📚 What We Learned Through this project, we learned about IoT-based energy monitoring, backend system design, and the role of AI in predicting energy demand. We also gained insights into sustainability, decentralized systems, and how technology can address real-world environmental challenges.
🛠️ How We Built It We developed a mobile app interface that allows users to view, share, and request energy. A simulated backend system tracks energy availability, usage, and transactions.
⚠️ Challenges We Faced
One major challenge was simulating real-time energy data without physical IoT devices. Integrating multiple components like frontend, backend, and predictive logic was also complex. Additionally, designing a scalable and fair sharing mechanism required careful planning. Despite these challenges, the project strengthened our problem-solving and teamwork skills.
Built With
- along-with-basic-html-and-css-for-structuring-and-styling-components.-for-the-backend
- energy-availability
- firebase
- javascript
- javascript-was-the-primary-language
- node.js
- platforms-like-google-cloud-or-aws-can-be-used-to-ensure-scalability.-the-database-was-managed-using-mongodb-or-firebase-firestore-to-store-user-data
- python
- supporting-both-frontend-and-backend-operations
- we-implemented-node.js-with-express.js-to-handle-server-side-logic-and-created-rest-apis-to-enable-smooth-communication-between-the-app-and-the-server.-for-cloud-services-and-hosting
- we-used-react-native-to-design-a-user-friendly-mobile-application-interface
- we-utilized-firebase
- which-also-provided-authentication-features-for-secure-user-access.-additionally
- while-python-was-used-to-implement-a-simple-ai-based-model-for-predicting-energy-demand-and-optimizing-distribution.-on-the-frontend
Log in or sign up for Devpost to join the conversation.