This project presents a smart Symptom-Based Doctor Suggestion and Appointment Booking System designed to help users identify possible medical needs and connect them with appropriate doctors. Built using PHP/Node.js, MySQL/MongoDB, and JavaScript, the system allows users to input their current symptoms, after which a suggestion algorithm analyzes the data and recommends the most suitable doctors or medical departments.
The platform simplifies the process of seeking medical help by providing relevant doctor options, available time slots, and an integrated appointment booking system. The goal is to reduce confusion for patients, streamline the clinic/hospital workflow, and enhance the overall healthcare experience through intelligent digital guidance.
The system enables users to enter symptoms, such as fever, headache, stomach pain, or other conditions. A rule-based or keyword-matching algorithm maps these symptoms to medical specialties (e.g., Dermatology, ENT, General Physician) and suggests appropriate doctors.
Users can then view doctor profiles, availability, and directly book an appointment. Doctors can manage their schedules, approve appointments, and update their specialization information.
Assist users in identifying the right doctor based on symptoms
Digitalize appointment booking for clinics/hospitals
Reduce confusion and improve patient navigation
Provide a reliable, symptom-to-specialist matching engine
Enhance healthcare accessibility using technology
Symptom Input Form
Smart Doctor Suggestion Algorithm
Doctor Profiles & Specializations
Real-Time Appointment Booking
User Dashboard for Appointment Tracking
Doctor Dashboard for Schedule Management
Admin Panel for Doctors, Users, and Appointment Control
Secure Backend with PHP/Node.js & MySQL/MongoDB
The system improves patient experience by simplifying the process of identifying the right doctor and booking an appointment. It demonstrates practical use of rule-based logic, full-stack development, and healthcare workflow design—making it a strong and effective BCA final-year project.
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