AI-Based Mobile Weather Forecasting Application with Personalized Alerts
PinsoutWeathertechProject Objectives:
Develop a mobile app that predicts weather conditions using AI models and sends personalized alerts to users for severe weather events.
Project Tasks:
Design database for users, location data, and weather history.
Implement secure login and location tracking.
Develop modules for fetching real-time weather data from APIs.
Apply ML models to forecast weather trends and anomalies.
Build dashboards for daily/weekly weather visualization.
Implement alerts for extreme conditions and personalized notifications.
Conduct testing for AI forecast accuracy and app usability.
Ensure system reliability and minimal latency.
Document project workflow, AI methodology, and user guide.
Educational Qualifications
B.TechB.EBCAMCA
Required Skills
Mobile App Development (Ios: Swift, Android: Kotlin/Java, Or Cross-Platform: Flutter/React Native)Machine Learning & Predictive Modeling (Weather Forecasting, Anomaly Detection)Api Integration (Real-Time Weather Data Sources, Geolocation Services)Database Design & Management (Users, Location Data, Weather History)Notifications & User Alerts (Push Notifications, Personalized Alerts, Event Triggers)
