🩸 AnemiaSense - Anemia Detection Using Machine Learning

🚀 Project Overview

AnemiaSense is a machine learning-powered web application designed to detect anemia based on user-provided blood parameters. It provides a simple web interface (Flask) where users can enter their hemoglobin, MCV, MCH, and MCHC levels and get an instant anemia prediction.

🔹 Features

✅ Web-based UI (built with Flask, HTML, CSS)✅ Uses Machine Learning to predict anemia✅ Trained on real anemia datasets✅ User-friendly input form for blood parameters✅ Displays prediction results instantly

🛠️ Installation Steps

To run this project locally, follow these steps:

🔹 1️⃣ Clone the Repository

git clone https://github.com/Abhaytiwari303/Anemia-Sense-Leveraging-Machine-Learning-for-Precise-Anemia-Detection.git cd AnemiaSense

🔹 2️⃣ Install Dependencies

pip install -r requirements.txt

🔹 3️⃣ Run Flask App

python app.py

🔹 The app will run at:👉 http://127.0.0.1:5000/

🖥️ How to Use

1️⃣ Open the web app in your browser.2️⃣ Enter blood test parameters (Gender, Hemoglobin, MCV, MCH, MCHC).3️⃣ Click Predict Anemia to get the result.4️⃣ The app will predict if the user is anemic or not.

📷 Screenshots & Demo

📌 Home Page (Input form)

📌 Prediction Page

📑 License

This project is licensed under the MIT License.You are free to use, modify, and distribute it.

🔗 Contact

📧 Email: at3032003@gmail.com🔗 GitHub: https://github.com/Abhaytiwari303