Derm Meds is a web-based application designed with an engaging and interactive user interface that is based on an AI model to predict the stages of skin cancer. At its core, the system utilizes machine learning algorithms and Convolutional Neural Networks (CNN), to analyze skin images and accurately determine the potential phase of cancer.

• Oversaw the development of a successful prediction model for the study and selection of Convolutional Neural Networks (CNN) for image-based skin cancer detection.
• Carried out several trials to optimize the CNN model's stage prediction accuracy.
• Involvement in the curation of datasets and selected high-quality photos that were essential for training the model and also consulted with doctors and the research team in DISHARC for real datasets and testing accuracy of the model
• Contributed to project documentation that covered the development of the Flask API and the use of machine learning methods.