🧟 The Zombie Detector Web App is a web application that predicts the survival chances of individuals and their families in a zombie apocalypse scenario. It takes input data about the alive persona and their family and provides a prediction on whether they will survive or not.
📝 Input Data: Collects data about the alive persona and their family members.
🔮 Prediction: Utilizes machine learning algorithms to predict the survival chances based on the input data.
💻 User Interface: Provides a user-friendly interface for easy data input and result visualization.
🧟 Prepare Yourself: Learn how to prepare for a zombie apocalypse with helpful tips and resources.
🌍 World Situation: Stay informed about the current world situation related to zombie outbreaks and updates.
🖥️ Front-end: HTML, CSS, JavaScript,BootStrap
⚙️ Backend: Python, Flask
🧠 Machine Learning: Python libraries (e.g., scikit-learn, TensorFlow,RandomForest)
🚀 Deployment: Web server (EC2)
🚀 Follow these instructions to get a copy of the Zombie Detector Web App up and running on your local machine for development and testing purposes:
- Clone the repository:
git clone https://github.com/KartikeyMish/Zombie-detector.git - Install the required dependencies:
pip install -r requirements.txt - Run the web application:
python app.py - Access the app in your web browser at:
http://localhost:5000
📝 Fill in the required information about the alive persona and their family members. 🔎 Click the "Predict" button to initiate the survival prediction. 📊 View the result displayed on the screen, indicating the predicted survival chances.
🛡️ Prepare yourself for a potential zombie apocalypse with the following tips and resources:
- 🛒 Stock up on essential supplies, including food, water, and medical provisions.
- 🥋 Learn self-defense techniques and acquire necessary tools for protection.
- 📞 Establish a communication plan with your loved ones.
- 🚨 Stay informed about emergency protocols and evacuation routes.
- 📚 Familiarize yourself with zombie survival guides and literature.
🌍 Stay updated on the current world situation regarding zombie outbreaks and related news. This section provides information about recent incidents, government responses, and expert analysis to keep you informed.
🙌 Contributions to the Zombie Detector Web App are welcome! If you find any bugs or have suggestions for additional features, please submit an issue or open a pull request. We appreciate your feedback and contributions.
📧 For any inquiries or further information, please contact Kartikey Mishra.