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@article{198600,
        author = {Hemant Gupta and Anil Sharma and Ankit Kumar and Kunmun Giri and Hariom Upadhyay},
        title = {Medi-Nest: A Doctor Appointment System with AI symptoms Analysis},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {11637-11640},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=198600},
        abstract = {The healthcare industry is rapidly evolving with digital technologies, yet many platforms fail to ensure trust and efficiency in patient-doctor interactions. This paper presents Medinest, a full-stack AI-integrated healthcare platform that enables users to find verified doctors, book secure appointments, and receive AI-based symptom insights. The system combines location-based doctor discovery, OTP-based visit verification, and an admin-controlled verification and AI training module. Built using modern technologies such as React Native, Node.js, and MongoDB, Medinest ensures reliability and scalability. A pilot study showed a significant reduction in appointment not shown and improved patient satisfaction, demonstrating the effectiveness of the proposed system.},
        keywords = {Healthcare System, Doctor Appointment, AI Symptom Checker, OTP Verification, Location-Based Services, React Native, Node.js, MongoDB},
        month = {April},
        }