• KASINENI VENKATA SAI NIREEKSHNA
• BODAPATI SESIREKHA
• DR.G.SRINIVASA RAO
• PADAVALA MOHITHA
• SHAIK ABIDHA

THE RAPID ADVANCEMENT OF HEALTHCARE TECHNOLOGY, THERE IS A GROWING DEMAND FOR SMART SYSTEMS THAT CAN MONITOR HEALTH IN REAL-TIME AND PROVIDE PERSONALIZED CARE. THIS PROJECT PROPOSES AN IOT-BASED IMPLANTABLE AI PILL SYSTEM FOR CONTINUOUS HEALTH MONITORING AND MEDICINE TRACKING. THE SYSTEM EMPLOYS THE MAX30102 SENSOR, WHICH IS CAPABLE OF MEASURING KEY HEALTH INDICATORS SUCH AS HEART RATE, SPO₂ (OXYGEN SATURATION), AND BODY TEMPERATURE. THESE VALUES ARE ACQUIRED THROUGH AN ESP8266 MICROCONTROLLER, WHICH ACTS AS A DRIVER FOR THE SENSOR AND TRANSMITS THE DATA TO A RASPBERRY PI 3B+ USING SERIAL COMMUNICATION. ONCE THE DATA REACHES THE RASPBERRY PI, IT IS PROCESSED USING MULTIPLE MACHINE LEARNING ALGORITHMS, INCLUDING SVM, KNN, RANDOM FOREST, LOGISTIC REGRESSION, LSTM, AND XGBOOST TO PREDICT WHETHER THE USER'S HEALTH CONDITION IS NORMAL OR ABNORMAL. IN ADDITION TO HEALTH PREDICTION, THE SYSTEM INCORPORATES AN INTELLIGENT MEDICINE REMINDER MODULE. THE USER CAN PREDEFINE TIME SLOTS MORNING, AFTERNOON, AND NIGHT FOR MEDICATION INTAKE. AT EACH TIME SLOT, AN ALARM IS TRIGGERED ON THE RASPBERRY PI, AND A TELEGRAM ALERT IS SENT TO THE CONCERNED PERSON. TO ENHANCE RELIABILITY, THE SYSTEM CAPTURES A LIVE PHOTO USING A CONNECTED CAMERA AT THE TIME OF THE ALERT, PROVIDING EVIDENCE OF MEDICINE INTAKE. IT ALSO SENDS A MESSAGE INDICATING WHETHER THE MEDICINE WAS TAKEN OR MISSED, ENSURING FULL TRANSPARENCY AND ACCOUNTABILITY. BY INTEGRATING IOT, AI, AND CLOUD COMMUNICATION, THE SYSTEM ENHANCES PERSONAL HEALTHCARE BY MAKING IT PREDICTIVE, PROACTIVE, AND CONNECTED

AI-BASED ALGORITHMS, RASPBERRY PI, REMOTE MONITORING, WIRELESS HEALTH MONITORING.

"IOT-BASED INPLANTABLE AI PILLS(TABLET) DEVELOPMENT FOR USING MEDICINE TRACKING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 4, page no.k443-k451, April-2025, Available :http://www.jetir.org/papers/JETIR2504A57.pdf

"IOT-BASED INPLANTABLE AI PILLS(TABLET) DEVELOPMENT FOR USING MEDICINE TRACKING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 4, page no. ppk443-k451, April-2025, Available at : http://www.jetir.org/papers/JETIR2504A57.pdf