Early Intervention through AI: A CNN based Approach to Medical Virtual Assistants
Accessibility in Healthcare continues to be a major challenge owing to time availability, cost and limited availability of medical professionals. Most of the people, especially the ones with a fast-paced life do not take routine check-ups which results in late diagnosis and serious health issues. In order to solve this problem, we present a chatbot-based disease diagnosis system that uses artificial intelligence for preliminary medical assessments. This chatbot allows users to insert symptoms using a conversational interface, and then the chatbot predicts possible diseases and gives proper dietary recommendations. This chatbot is designed to analyze symptoms using a CNN model and deliver results efficiently and accurately. This system provides a quick, economical, and easily accessible alternative for basic health knowledge compared to conventional hospital visits. Chatbot technology improves the efficiency of the health care system by removing the need to burden the hospitals with minor health issues, while encouraging preemptive measures in monitoring health. It is a 24/7 service, offering healthcare advice around the clock, anytime and anywhere. furthermore, its simplistic interface invites people to talk about their health freely.
Authors
- Jinka Neha
Publication Details
- Journal
- International Journal for Research in Applied Science and Engineering Technology
- Published
- 2025-03-20
- DOI
- https://doi.org/10.22214/ijraset.2025.67504
- Primary Topic
- AI in Service Interactions
- Type
- article
- Field-Weighted Citation Impact
- 0.00