Vaibhav Sharma

Project Description Our mobile application leverages advanced machine learning algorithms to detect potential signs of cancer from X-ray images. Designed with user-friendliness in mind, the app aims to facilitate early detection and provide comprehensive support for individuals concerned about their health. 1. scope of solution AI-Based X-ray Analysis: The core feature is the ability to upload X-ray images for AI-driven detection of abnormalities suggestive of cancer. Resource Hub: Users can access educational materials about cancer types, prevention, and treatment options. Notification Reminders: The app provides timely reminders for regular screenings and check-ups to encourage proactive health management. Consultation Access: Users can easily schedule consultations with healthcare professionals through the app, ensuring they receive personalized advice and follow-up care. 2. out of scope of solution Diagnosis or Treatment: While the app aids in early detection, it does not provide definitive diagnoses or medical treatment recommendations. Users are advised to consult healthcare professionals for any concerns. Other Medical Imaging: The current focus is solely on X-ray analysis; other imaging modalities (e.g., MRI, CT scans) are not included in this version. Comprehensive Medical Records: The app does not manage or store users' complete medical histories or offer integration with existing health records systems. 3. future opportunities for solution Expansion to Other Imaging Types: Future versions could incorporate analysis from additional imaging modalities such as CT scans and MRIs to broaden diagnostic capabilities. Integration with Wearable Devices: The app could evolve to include data from wearables, monitoring user health metrics in real-time and offering personalized health insights. Collaborative Research: Partnering with medical insti