Merge pull request #698 from rakheshkrishna2005/dl-pytorch

Contributed MRI analysis with ResNet50 + PyTorch

Neural Networks/Alzheimer MRI Analysis/README.md

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+# 🧠 Alzheimer’s Disease Classifier - MRI Image Analysis
+
+## 📝 Description
+
+- Alzheimer’s Disease Classifier is a **computer vision application** that uses a **ResNet-50 model** to classify MRI images for Alzheimer's stages.
+- Built with **Streamlit** for a user-friendly web interface, the app can classify multiple uploaded MRI images at once.
+- Provides **insights** and **treatment recommendations** based on classification.
+
+## 🎥 Demo Video
+[Demo Video Link](https://github.com/user-attachments/assets/f86291be-cbab-40de-89b9-0426c4df6293)
+
+## 🚀 Features
+
+- 🖼️ **Multiple Image Upload** with uploaded images info
+- 📊 Detailed **classification report** for each image
+- 🔍 **Four-class classification** for Alzheimer's stages
+- 💡 Comprehensive **treatment recommendations** for each stage
+
+## 💻 Tech Stack
+
+- **Programming Language:** Python 🐍
+- **Web Framework:** Streamlit 🌐
+- **Deep Learning Framework:** PyTorch 🔥
+- **Leveraged Pre-trained Model:** ResNet-50 🦾
+
+## ⚙️ Installation and Usage
+
+Follow these steps to get the Alzheimer's Disease Classifier running on your machine:
+
+1. **Clone the repository:**
+   ```bash
+   git clone https://github.com/UppuluriKalyani/ML-Nexus.git
+   ```
+
+2. **Navigate to the Project Directory:**
+   ```bash
+   cd ML-Nexus/Neural Networks/Alzheimer MRI Analysis
+   ```
+
+3. **Create a virtual environment** (optional but recommended):
+   ```bash
+   python -m venv venv
+   ```
+
+4. **Activate the Virtual Environment:**
+
+   - On **Windows**:
+     ```bash
+     venv\Scripts\activate
+     ```
+   - On **macOS/Linux**:
+     ```bash
+     source venv/bin/activate
+     ```
+
+5. **Install the required dependencies:**
+   ```bash
+   pip install -r requirements.txt
+   ```
+
+6. **Run the Streamlit app:**
+   ```bash
+   streamlit run app.py
+   ```
+
+7. **Access the app** by opening your web browser and navigating to `http://localhost:8501`.
+
+## 🌐 Web Interface
+
+![app](https://github.com/user-attachments/assets/32790fe6-e519-4707-ab0c-8b1851f74abe)
+
+## 📚 Additional Resources
+
+- 📘 **[PyTorch Documentation](https://pytorch.org/docs/)**
+- 📘 **[Streamlit Documentation](https://docs.streamlit.io/)**
+- 📘 **[ResNet-50 Documentation](https://pytorch.org/hub/pytorch_vision_resnet/)**