Online Doctor Appointment using Machine Learning
Dr. Roshani V. Bhaskarwar
Department Of Information Technology, Datta Meghe College of Engineering, Airoli,India roshani.bhaskarwar@dmce.ac.in
Pius Das
Department Of Information Technology, Datta Meghe College of Engineering, Airoli,India
piusdas6@gmail.com
Suraj Gaikar
Department Of Information Technology, Datta Meghe College of Engineering, Airoli,India
surajgaikar4694@gmail.com
Chitralekha Chavan
Department Of Information Technology, Datta Meghe College of Engineering, Airoli,India chavanchitra8928@gmail.com
Swarangi Jog
Department Of Information Technology, Datta Meghe College of Engineering, Airoli,Indiaswarangijog@gmail.com
Abstract— In today's fast-paced world, accessing timely medical care can be challenging due to long wait times, scheduling difficulties, and a lack of proper guidance. The Doctor Appointment System addresses these issues by integrating AI and machine learning to create a more efficient and accessible healthcare experience. It ensures secure access with OTP-based authentication, preventing unauthorized logins. A machine learning-powered disease prediction model helps patients analyze symptoms and gain preliminary insights before consulting a doctor, while an AI-driven chatbot provides instant assistance, answering queries and guiding users through the appointment process. To enhance convenience, the system includes a Nearby Hospital Locator, allowing users to search for hospitals based on their city. An admin-controlled scheduling system manages appointments efficiently, enabling administrators to approve or reject requests based on doctor availability while maintaining a specialist patient limit to avoid overbooking. Additionally, a feedback system allows users to report issues and provide input for continuous improvements. By integrating secure authentication, AI-driven assistance, predictive analytics, and location-based hospital search, this system enhances accessibility, reduces waiting times, and ensures a smooth and organized appointment booking process for both patients and healthcare providers.
Index Terms—The Doctor Appointment System, Patient Mod- ule, Doctor Module, Administrator Module, Disease Classification Algorithm, Machine Learning, RASA Chatbot, Appointment Management, Doctor Recommendation.
