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🌦️ Rain Chance Predictor

NASA Space Apps Challenge 2025 — “Will It Rain On My Parade?”

🪐 Team: StellarLogic

Streamlit Python NASA POWER API License: MIT GitHub Repo

🔗 Live App: Rain Chance Predictor


🧠 Overview

Rain Chance Predictor is an AI-powered web application that predicts the probability of rain for any city on Earth.
By analyzing global atmospheric data and weather patterns, it empowers users to make smarter decisions for outdoor events, agriculture, and travel planning.

This project was developed by Team StellarLogic for the NASA Space Apps Challenge 2025, under the theme “Will It Rain On My Parade?” 🌍


🚀 Key Features

  • 🌎 Predicts rainfall chances for any global location
  • 🌦️ Analyzes temperature, humidity, and precipitation trends
  • 📊 Displays interactive data visualizations (Plotly)
  • Fast, lightweight, and built for real-time predictions
  • 💡 Uses NASA Earth observation data and machine learning logic

🧰 Tech Stack

Technology Icon
Python 🐍
Streamlit 🌐
Pandas 📘
NumPy 🔢
Plotly 📊
Matplotlib 🎨
NASA POWER API 🛰️
GitHub 🧠
Streamlit Cloud ☁️

💡 How It Works

1️⃣ User enters a city name and date.
2️⃣ The app fetches meteorological data from NASA POWER API.
3️⃣ A trained model analyzes features like humidity, temperature, and pressure.
4️⃣ It predicts the likelihood of rainfall and displays it in a clear, visual format.


🎯 Live Demo

🖱️ Try the live version here → Rain Chance Predictor App


🧑‍🚀 Team StellarLogic

Name Role
Sidra Saqlain Team Lead, Model Development & Integration
Rayyan Ahmed Data Analyst & Backend Developer
Sabiha Shehzadi UI/UX Designer & Visualization Specialist

🌟 Why It Matters

Unpredictable rain can disrupt daily life — from crop damage to event cancellations.
Our project helps individuals and communities plan better using space-based weather insights.
It bridges the gap between Earth observation data and real-world decision-making, showcasing how open data can improve lives globally. 🌍


🧾 Future Enhancements

  • 🌈 Add global rainfall heatmaps and trend visualizations
  • 🗓️ 7-day multi-forecast capability
  • 📱 Responsive mobile-friendly interface
  • 🧠 Enhanced ML model for rainfall intensity prediction

🪪 License

This project is licensed under the MIT License — you’re free to use, modify, and share it with proper attribution.
See the LICENSE file for details.


🏁 Conclusion

Rain Chance Predictor demonstrates how technology and creativity can merge to interpret complex environmental data into meaningful insights.
With innovation, teamwork, and a shared passion for data science, Team StellarLogic delivers a project that turns space data into practical impact. 🚀


📬 Contact

📧 Sidra Saqlain[email protected]
🌐 App Link: rain-chance-predictor.streamlit.app
🐙 GitHub: StellarLogic Repository


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☁️ Predicts the likelihood of rain anywhere, anytime — simple and intelligent

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