AI-powered skin disease diagnosis with secure multi-factor authentication
A full-stack web application that uses machine learning to analyze uploaded skin images and predict potential diseases, with JWT-secured REST APIs, OTP-based authentication, and comprehensive prediction history tracking.
People with suspicious skin conditions often delay seeking medical advice because dermatology appointments can take weeks to schedule, and many cannot afford specialist consultations. Without quick preliminary assessment, minor treatable conditions worsen or serious diseases like melanoma go undetected until later stages when treatment is more difficult and expensive.
This system offers a swift and accessible way for individuals to gain insight into their skin health, effectively bridging the gap between individuals and dermatological expertise. By leveraging machine learning for image analysis, it provides users with preliminary diagnoses that can help them make informed decisions about whether to seek further medical attention, thus enhancing overall public health outcomes.
This isn't just a project — it's a simulation of how software actually gets built inside a company. You'll see how real teams gather a client's requirements, negotiate trade-offs, and ship in sprints instead of all at once, while picking up the daily rhythm of an engineer's (and tester's) week along the way.
One purchase, the entire toolkit — nothing held back, nothing sold separately.
6 architecture & design diagrams(HLD, LLD & more) — unlocked with the Standard or Premium plan.
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