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title: OralCancerPrediction |
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emoji: ⚡ |
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colorFrom: purple |
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colorTo: pink |
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sdk: docker |
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pinned: false |
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--- |
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# Oral Cancer Prediction & AI Explanation Portal |
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This project is a built for for understanding and demonstrating the role of Artificial Intelligence in **Oral Cancer Diagnosis**. |
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It includes: |
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- **Educational Portal** explaining AI's role in oral cancer detection. |
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- **CNN Working Visualization** for understanding how Convolutional Neural Networks process medical images. |
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- **Deployed Oral Cancer Prediction Model** hosted on Hugging Face and integrated into the app. |
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## Test it now |
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The project is hosted in huggingface space, |
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- [Preview here](https://rahul-samedavar-oralcancerprediction.hf.space/) |
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- [Repository](https://huggingface.co/spaces/Rahul-Samedavar/OralCancerPrediction/tree/main) |
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## 🌟 Features |
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### 1. **AI in Oral Cancer Diagnosis** (Frontend 1) |
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- Interactive content explaining AI's use in early oral cancer detection. |
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- Simplified explanations of AI models for healthcare professionals and students. |
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### 2. **CNN Working Visualizer** (Frontend 2) |
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- Explains convolution, pooling, and classification stages in CNNs. |
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- Includes interactive diagrams and animations. |
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### 3. **Oral Cancer Prediction Model** |
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- Trained deep learning model for predicting oral cancer from images. |
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- Uploaded to [Hugging Face](https://huggingface.co/Rahul-Samedavar/OralCancer_Predictor). |
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- Integrated directly into the frontend for real-time predictions. |
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--- |
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## 🛠️ Tech Stack |
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| Component | Technology Used | |
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| ----------------- | ------------------------------------------------------- | |
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| **Frontend 1** | Next.js (Static Export) | |
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| **Frontend 2** | Vite + React | |
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| **Backend** | Flask (serving both frontends & API) | |
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| **Model Hosting** | Hugging Face Spaces | |
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| **ML Framework** | TensorFlow / PyTorch (depending on your implementation) | |
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| **Styling** | Tailwind CSS | |
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--- |
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## 🚀 Deployment |
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The project is hosted on Hugging Face Spaces: |
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🔗 **[Live Demo](https://rahul-samedavar-oralcancerprediction.hf.space/)** |
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--- |
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## ⚙️ Installation & Local Setup |
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1. **Clone the repository** |
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```bash |
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git clone https://huggingface.co/Rahul-Samedavar/OralCancer_Predictor |
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cd OralCancer_Predictor |
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``` |
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2. **Install backend dependencies** |
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```bash |
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pip install -r requirements.txt |
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``` |
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3. **Build frontends** |
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```bash |
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# Next.js |
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cd ./Frontends/main |
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npm install |
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npm run build |
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# Vite |
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cd ./Frontends/cnn |
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npm install |
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npm run build |
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``` |
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4. **Copy builds into backend** |
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```bash |
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cp -r ./Frontends/main/out ./static/next |
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cp -r ./Frontends/cnn/dist ./static/vite |
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``` |
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5. **Run backend** |
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```bash |
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python app.py |
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``` |
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--- |
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## 🧠 Model Details |
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- **Architecture**: Convolutional Neural Network (CNN) |
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- **Training Data**: [Histopathologic Oral Cancer Detection using CNNs](https://www.kaggle.com/datasets/ashenafifasilkebede/dataset) |
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- **Hosting**: [Hosted in Huggingface](https://huggingface.co/Rahul-Samedavar/OralCancer_Predictor) |
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- **Input**: Oral lesion histopathlogical images |
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- **Output**: Predicted class (Cancerous / Non-cancerous) with probability score |
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--- |
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