streamlit-app-2024-05-19-23-05-10.webm
Your Weather-Driven Badminton Outside Play Predictor
Welcome to SmashCast, where badminton meets the weather! 🚀
Are you tired of guessing whether it's a good day to play badminton outside? Look no further! SmashCast uses cutting-edge technology to analyze real-time weather data and predict the perfect time slots for your outdoor badminton sessions. 🌦️
- Real-time weather prediction for your selected location, ensuring you never miss a sunny day! ☀️
- Customizable date and time inputs for personalized predictions tailored to your schedule. 📅
- 🌟 Discover suitable time slots for playing badminton today, tomorrow, or any day with just a click!
- SmashBot Chat: Ask SmashBot about the weather and badminton playability. 🤖
- About the Author section to connect with the developer and share your feedback. 👨💻
- Clone this repository to your local machine and dive into the world of SmashCast! 🌐
- Install the required dependencies using
pip install -r requirements.txt. Let's get those algorithms running! 🛠️ - Launch the Streamlit app with a single command:
streamlit run app.py. Let the games begin!▶️
- Enter your city name and select a date and time that works for you. Let's find that perfect window! 🏙️
- Click on the "Make Prediction" button to unveil real-time weather forecasts and recommendations for your badminton game. 🎯
- Today, Tomorrow, or This Week: Simply click on the corresponding button to reveal suitable time slots for playing badminton. Your game, your choice! 📅
- All Time Slots: Why limit yourself? Explore all available time slots and seize every opportunity to play! ⏰
- Ask SmashBot: Use the sidebar chat to ask SmashBot about the weather and badminton playability. SmashBot can help you determine the best times to play based on weather conditions in your city. Just enter a query like "Can I play badminton in Delhi on 2024-05-20 at 15:00?" and get an instant response!
Join the SmashCast community and become part of something great! Your contributions are highly valued. Whether it's a bug fix, feature enhancement, or just feedback, every bit counts. Let's build the future of outdoor sports together! 🌟
- Special thanks to OpenWeatherMap for providing invaluable weather data through their API.
- This project was born out of a passion for blending technology with outdoor recreation. Let's keep pushing the boundaries and exploring new horizons together! 🌍
Hi there! I'm Aditya, an aspiring ML engineer with a passion for machine learning, deep learning, and problem-solving. I love working on diverse projects and exploring new technologies. Connect with me to stay updated on my latest projects and endeavors!
