A multi-app healthcare platform powered by ML that offers skin condition assessments while generating leads and improving diagnostic data collection

The skin scanner app is designed for ease of use, guiding users through a simple process to receive a preliminary assessment. From body part selection to personalized clinic recommendations, the app provides a seamless user experience. Here’s how it works:

• Body part selection: When users open the app, the first step is selecting the part of the body where the skin condition is located. This helps the app narrow down the possible conditions that could relate to that specific area.
• Image upload: Users can either take a photo of their skin condition or upload one from their gallery. 
• Questionnaire: Once the photo is uploaded, users answer a short three-question quiz. These questions help add some context for the machine learning analysis, like symptoms or any relevant medical history.
• Image analysis and diagnosis: After the photo has been submitted, the app provides three possible diagnoses, each with a probability score. For example, it might show acne (80%), dermatitis (15%), and psoriasis (5%). .
• Detailed condition information: Users can tap on any diagnosis to get more detailed info about the condition, including a description, treatment options, and recommended medications. This info is regularly updated through the admin panel to keep everything up-to-date.
• Geolocation-based clinic recommendations: The app uses geolocation to provide users with a personalized list of nearby clinics where they can get treated for their conditions. Each clinic comes with all the contact info and exact locations on an interactive map — making it easy for patients to connect with healthcare professionals. If there aren’t any suitable clinics in the user’s city, the app suggests alternatives in nearby cities or regions.
• User registration and profile management: The app offers users two options: guest mode and registered mode. In guest mode, users can get quick diagnostics without setting up an account. Registered users, on the other hand, unlock extra features like a personalized profile where they can keep track of their diagnosis history, save photos, and get more detailed insights based on their past interactions.
• In-app advertising: We helped the client add non-intrusive banner ads to the app, strategically placing them at the top or bottom of the screen to create an extra revenue stream.