solomonyusuf/CancolyAssist

African solution with Brain tumor diagnosis and classification # CancolyAssist Cancoly is an AI-powered medical imaging platform designed to help healthcare professionals analyze MRI scans for early tumor detection and diagnosis. Using advanced machine learning models, Cancoly enables users to: Upload MRI scans securely via a web interface. Automatically process and analyze images for potential tumor indicators. Receive detailed diagnostic insights to support medical decision-making. Access results through an easy-to-use dashboard. With CancolyAssist, our mission is to empower radiologists and clinicians by reducing analysis time, increasing diagnostic accuracy, and improving patient outcomes — especially in settings where specialized radiology expertise is scarce. --- ## 🌐 Live Demo You can access the live version of the app here: 🔗 **cancoly.runasp.net** You can access the video demo of the app here: 🔗 video demo --- ## 📌 Features - Built with **.NET 8** for high performance and cross-platform compatibility. - **Dockerized** for quick setup and consistent environment. - **Remote database integration** for scalability and security. - Ready-to-use `docker-compose.yml` file for easy deployment. --- ## 🛠 Prerequisites Make sure you have the following installed on your system: - Docker - Docker Compose --- ## ⚡ Quick Start 1. **Clone this repository** ```bash git clone github.com cd CancolyAssist ```` 2. **Launch the application** ```bash docker compose up --build -d ``` 3. **Access the application** Once the containers are up, open your browser and go to: ``` localhost ``` --- ## ⚙️ Configuration * Environment variables can be set in a `./Cancoly/appsetting.json` file. * The app automatically connects to the **remote database** configured in your environment variables. * this configuration is not required to be added again since it is already set up ```json { "ConnectionStrings": { "DefaultConnection": "Data Source=.\\SQLEXPRESS;Initial Catalog=canco …