https://github.com/vishwas-chakilam/tennis-prediction-app
🎾 Tennis Prediction App A Machine Learning-based web app that predicts whether you should play tennis based on weather conditions 🌦️. This app uses a Decision Tree Classifier and is built with Streamlit for an interactive UI.
https://github.com/vishwas-chakilam/tennis-prediction-app
Last synced: 8 months ago
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🎾 Tennis Prediction App A Machine Learning-based web app that predicts whether you should play tennis based on weather conditions 🌦️. This app uses a Decision Tree Classifier and is built with Streamlit for an interactive UI.
- Host: GitHub
- URL: https://github.com/vishwas-chakilam/tennis-prediction-app
- Owner: Vishwas-Chakilam
- License: mit
- Created: 2025-02-18T16:11:08.000Z (8 months ago)
- Default Branch: main
- Last Pushed: 2025-02-18T17:21:17.000Z (8 months ago)
- Last Synced: 2025-02-18T17:27:27.828Z (8 months ago)
- Language: Python
- Size: 558 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# 🎾 Tennis Prediction App
A **Machine Learning-based** web application that predicts whether you should play tennis based on weather conditions. Built using **Streamlit** and powered by a **Decision Tree Classifier**, this app provides instant insights for tennis enthusiasts. 🚀
## 📌 Features
✅ **User-friendly UI** to input weather conditions
✅ **Machine Learning model** trained on historical weather data
✅ **Instant Predictions** on whether it's a good day for tennis
✅ **GitHub Contribution Heatmap**
✅ **Interactive Data Visualization** *(Coming Soon!)*
---
## 🚀 Demo
👉 **Live App**: [Coming Soon](#)
## ⚡ How It Works
1. Navigate to the **Predict** page.
2. Enter weather conditions (Outlook, Temperature, Humidity, Wind).
3. Click **Predict** and get an instant recommendation! 🎾
## 🛠️ Tech Stack
- **Programming Language**: Python
- **Libraries**: Streamlit, Pandas, Scikit-Learn
- **Machine Learning Model**: Decision Tree Classifier
---
## 🎮 Screenshots
### Home Page
### Prediction Page
### About Page
---
## 🔧 Installation & Usage
1. **Clone the repository**
```bash
git clone https://github.com/vishwas-chakilam/Tennis-Prediction-App.git
cd Tennis-Prediction-App
```
2. **Install dependencies**
```bash
pip install -r requirements.txt
```
3. **Run the Streamlit app**
```bash
streamlit run app.py
```
---
## 📊 Dataset
The dataset contains **historical weather conditions** and whether tennis was played. It includes:
- Outlook (Sunny, Overcast, Rain)
- Temperature (Hot, Mild, Cool)
- Humidity (High, Normal)
- Wind (Weak, Strong)
- Play Tennis (Yes/No)
---
## 👨💻 About the Developer
This project is developed by **[Vishwas Chakilam](https://github.com/vishwas-chakilam)**, a **Machine Learning & Data Science Enthusiast**.
### 🔗 Connect with me:
- 🌎 **GitHub**: [github.com/vishwas-chakilam](https://github.com/vishwas-chakilam)
- 📧 **Email**: work.vishwas1@gmail.com
- 📢 Always open for collaborations & discussions on AI & ML! 🚀
---
## 🤝 Contributing
Contributions are always welcome! Feel free to **fork** this repo and submit a **pull request**.
---
## 📜 License
This project is licensed under the **MIT License**.
---
⭐ **If you found this project useful, don’t forget to give it a star!** ⭐
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