Weather app

Inspiration: To help users plan their day with accurate, real-time weather updates.

What it does: Shows current weather, forecasts, temperature, humidity, wind speed, and alerts—searchable by city or GPS location.

How we built it: Used Python, APIs (OpenWeatherMap), Pandas for data handling, and Streamlit/React for a responsive frontend with dynamic visuals.

Challenges: Managing API limits, ensuring accurate updates, and designing a clean UI.

Accomplishments: Fully functional app with real-time updates and interactive visualizations.

Next steps: Add personalized alerts, ML-based forecast improvements, and historical trend analysis.

Built With

• api;
• deployed
• git
• heroku/aws;
• openweathermap
• pandas
• sql
• streamlit/react
• tech-stack:-python