I’m contributing AutoML WebApp Cancer Detection to Hacktoberfest 2025 — an open-source project that empowers developers and researchers to apply automated machine learning (AutoML) for early cancer detection.
The web app allows users to upload medical datasets, automatically train optimized ML models, and visualize prediction results — all through an interactive and user-friendly interface.
My goal with this project is to make AI-driven healthcare more accessible and open for collaboration. I’m inviting contributors to help improve model accuracy, add new datasets, enhance the frontend, or integrate DevOps workflows like Docker, CI/CD, and cloud deployment.
Together, we can make data-driven cancer diagnostics faster, more reliable, and easier to use — while celebrating open-source spirit through Hacktoberfest
I’m contributing AutoML WebApp Cancer Detection to Hacktoberfest 2025 — an open-source project that empowers developers and researchers to apply automated machine learning (AutoML) for early cancer detection.
The web app allows users to upload medical datasets, automatically train optimized ML models, and visualize prediction results — all through an interactive and user-friendly interface.
My goal with this project is to make AI-driven healthcare more accessible and open for collaboration. I’m inviting contributors to help improve model accuracy, add new datasets, enhance the frontend, or integrate DevOps workflows like Docker, CI/CD, and cloud deployment.
Together, we can make data-driven cancer diagnostics faster, more reliable, and easier to use — while celebrating open-source spirit through Hacktoberfest