AI-Driven Medicine Reminding App
1st Prof.Girish Shivangudi
Department of Computer Science
KLS Vishwanathrao Deshpande Institute of Technology Haliyal,India
2nd Ms. Chrysolite Konditi
Department of Computer Science
KLS Vishwanathrao Deshpande Institute of Technology
Haliyal,India chrysolitekonditi@gmail.com
3rd Ms. Mamatha D L
Department of Computer Science
KLS Vishwanathrao Deshpande Institute of Technology
Haliyal,India mamathadl31102003@gmail.com
4th Ms. Jeevanashree Shirauppi
Department of Computer Science
KLS Vishwanathrao Deshpande Institute of Technology
Haliyal,India jeevanashree2004@gmail.com
5th Ms. Ashmita Prabhu
Department of Computer Science
KLS Vishwanathrao Deshpande Institute of Technology Haliyal,India
asmitaprabhu11966@gmail.com
Abstract — Medication non-adherence continues to be a major issue in healthcare systems around the world. This often leads to worsening health conditions, unnecessary hospital visits, and increased financial burden on both patients and healthcare providers. To tackle this ongoing problem, we have developed MediMinder, an AI-powered solution aimed at making it easier for patients to manage their medicines. The system offers a set of practical features designed to help users remember their medicines on time. It includes reminders that adjust to the user’s routine, a tool that reads prescription details from uploaded images, and a safety check to warn about harmful drug combinations. Reminders can be sent in different ways so that people do not miss any dose.Instead of depending on manual data entry, the app identifies the medicine name, dosage, and timing from the prescription itself. A separate monitoring panel allows caregivers to keep an eye on whether the patient is taking medicines regularly and alerts them whenever a dose is skipped or delayed.The main goal of MediMinder is to make medication routines easier, reduce health risks, and support better decision-making in healthcare.
Keywords —Medication adherence, intelligent reminders, healthcare safety, OCR-based prescription reading, drug-interaction checking.
