We develop AI-powered Cancer Symptoms Checkup software that helps users assess potential symptoms early and guides them toward appropriate medical action.
A forward-thinking medical team aimed to streamline early cancer symptom detection and help users identify potential risk factors through a user-friendly digital platform. They sought a robust, scalable, and intelligent software solution that could serve as a reliable first-touch diagnostic tool.
The client needed a responsive and secure web-based system that could analyze a wide range of user-submitted symptoms and provide insights based on validated medical logic. The platform had to ensure data privacy, offer intuitive UX, and be flexible for integration with future AI modules or telemedicine tools.
Shrinext HealthTech developed a comprehensive Cancer Symptoms Checkup platform using Laravel (PHP) for the backend and Vue.js for a dynamic, reactive frontend. The solution enables users to enter symptoms, receive preliminary assessments, and get personalized advice or referral suggestions.
Our development included:
The platform successfully empowered patients to perform guided self-assessments from the comfort of their homes, increasing awareness and promoting early detection. Medical professionals gained a reliable digital tool to extend outreach and reduce unnecessary clinic visits while maintaining clinical accuracy.
The solution is now being considered for broader deployment across oncology support networks and primary care units.