Software engineering Project on the topic sustainable development
Urjasantulan is an application designed to enhance grid stability and optimize energy consumption in households. By leveraging machine learning and real-time data analysis, it predicts and adapts to household energy usage patterns, promoting efficient and sustainable energy practices.
Our app, "Urjasantulan," helps predict the stability of electricity consumption by analyzing and adapting to household usage patterns. The app aims to reduce energy waste, enhance grid stability, and provide users with insights to improve their energy habits.
- Machine Learning Model: Predicts the stability of the power grid based on household energy usage.
- Personalized Dashboard: User-friendly interface for monitoring energy consumption and grid stability.
- Insights & Suggestions: Provides recommendations for improving energy habits to achieve cost savings and environmental benefits.
- Real-Time Data: Utilizes real-time data to adapt to changing energy demands and supply fluctuations.
- App Development: Kotlin and Android Studio
- Machine Learning: Python and Deep Learning
- API Integration: For retrieving grid system information