AI Symptoms Checker and Disease Prediction System

Artificial intelligence (AI) has emerged as a powerful technology for enhancing healthcare accessibility, early disease detection and preliminary diagnosis . AI -based symptom checker systems analyse user-reported symptom to predict possible diseases and provide initial health guidance . The proposed AI symptom checker and disease prediction app is a web – based application developed using modern fronted technologies such as React, TypeScript, Vite, Tailwind CSS, and Shadcn/ui, with a focus on usability , responsiveness, and modern design. The rapid advancement of digital healthcare technologies has significantly improved access to preliminary medical assistance, particularly through web-based applications and digital tools. Symptom checker systems have emerged as effective platforms for providing early-stage health guidance by analyzing user-reported symptoms and offering possible health insights. These systems contribute to improved patient engagement and support early decision-making in healthcare environments .[2] The application is developed using standard web technologies such as HTML, tailwind CSS, and JavaScript, ensuring accessibility across multiple platforms without requiring high computational resources. The design focuses on usability, responsiveness, and ease of interaction, making it suitable for users with different levels of digital literacy. Lightweight and accessible systems are especially important for improving healthcare reach in low resource environments .[4] Furthermore, the system emphasizes data privacy and security by minimizing the storage of sensitive user information and providing only general health-related suggestions. Digital health tools that prioritize privacy and accessibility are essential for building trust and encouraging user adoption in modern healthcare systems .[4] Overall, the proposed system contributes to the growing field of digital healthcare by offering a simple, accessible, and efficient symptom checker tool that supports early awareness and self-assessment. It acts as a first-level assistance system, encouraging users to seek professional medical advice when necessary and helping reduce the burden on healthcare services. [2]