🧟 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:

1. Clone the repository: git clone https://github.com/KartikeyMish/Zombie-detector.git
2. Install the required dependencies: pip install -r requirements.txt
3. Run the web application: python app.py
4. 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.