A Vultr Hackathon Submission
Welcome to the AI-Powered Climate Change Tracker repository!
This project combines AI, Streamlit, and Laravel to provide predictive climate insights and interactive weather analysis.
The project leverages Streamlit for the frontend interface and integrates a Laravel-based chatbot powered by Vultr services. Due to time constraints, the entire project couldn't be developed in Laravel, but the chatbot functionality has been seamlessly integrated into the Streamlit application.
👉 Check out the live application here:
Here’s a quick overview of the files and their roles:
📦 Weather_predict
├── Streamli_C (web_app.py) # Main running file (Streamlit-based web application)
├── Laravel_Chatbot/ # Contains the Laravel PHP files for the chatbot
├── requirements.txt # Python dependencies for Streamlit app
└── Other_Files/ # Supporting files (datasets, utility scripts, etc.)
Streamli_C(web_app.py): The core application that runs the Streamlit web app and integrates the Laravel chatbot. Laravel_Chatbot/: Chatbot functionality built in Laravel. Due to time constraints, this part is integrated into the Streamlit app instead of a full Laravel implementation.
Technology Purpose Streamlit Frontend web interface Laravel PHP Chatbot development Python AI and ML-based climate predictions Vultr API Serverless inference integration
✨ Climate Predictions: Predict trends for timelines like 1 month, 6 months, 1 year, and 2 years. 🌦️ Weather Analysis: Upload images to get weather predictions using deep learning models. 🤖 Integrated Chatbot: A Laravel-based chatbot for interactive assistance, powered by Vultr. 🖥️ User-Friendly Interface: Built with Streamlit for an intuitive experience.
Prerequisites Ensure you have the following installed:
Python 3.x . Streamlit . Laravel PHP Framework .
Clone the repository: git clone https://github.com/Tanny28/Weather_predict.git . cd Streamlit_C .
Install Python dependencies:
pip install -r requirements.txt .
Run the Streamlit application: streamlit run web_app.py (from Streamlit_C)
The main running file is Streamli_C (web_app.py). Laravel files are specific to the chatbot and can be extended for future improvements.
🚀 Fully migrate the project to Laravel for a unified framework. 🤖 Enhance chatbot capabilities and interactions. 🌐 Expand predictive models for global insights.
We extend our gratitude to Vultr for their powerful cloud services and the Vultr Hackathon team for providing this opportunity.