Weather Prediction App
Project Overview
This project focuses on creating a smart home system that connects household devices to an IoT network, enabling users to control lights, fans, doors, and other appliances remotely. The system integrates smart sensors for motion detection, temperature monitoring, and fire alerts, providing real-time updates and customizable automation routines. The smart home system is compatible with voice commands and mobile apps, making it highly user-friendly and secure.
Key Features
Live Forecast
Displays real-time weather updates and predictions.
Data Visualization
Graphs and charts for temperature, humidity, and trends.
Location Tracking
Provides forecasts based on user’s location.
Historical Analysis
Uses historical data for accurate predictions.
Predictive Accuracy
Machine learning-based forecasts for improved accuracy.
User Notifications
Alerts for severe weather events.
Technologies used
- Programming Language: Python / JavaScript
- Libraries: Pandas, NumPy, TensorFlow
- APIs: OpenWeatherMap / AccuWeather API
- Frontend Framework: React / Flask for UI
- Cloud Services: AWS Lambda or Heroku
Why Choose This Project?
- ✅ Ideal for mastering time-series forecasting and data analysis.
- ✅ Hands-on experience with APIs like OpenWeatherMap and Python libraries.
- ✅ Learn to build user-friendly interfaces and deploy machine learning models.
Deliverables From Our Side
- → Complete source code and project documentation
- → ML model training datasets and scripts
- → Demo video showcasing the app in action
