ABSTRACT Agriculture today is rapidly embracing automation and IoT technologies to boost productivity and make farming smarter. This project introduces an Automated Vegetable Picker Machine that uses IoT and AI to detect and harvest ripe vegetables with better efficiency. The system combines an ESP32-CAM module for image capture, a color sensor for ripeness detection and a 4-DOF robotic arm to carefully pick the vegetables without causing damage. A lightweight AI model, trained using platforms like Google Teachable Machine or TensorFlow, is deployed on the ESP32-CAM to classify vegetables. Ripeness in real time. Once a ripe vegetable is identified, the Node MCU processes the data and sends commands to the robotic arm to carry out the picking action with precision. The entire setup is connected to a mobile application via IoT, allowing farmers to receive live updates and notifications on harvesting progress. This level of automation reduces dependence on manual labor, speeds up th...
INTRODUCTION: In the current generation, heart problems are the leading cause of death and this project provides an effective solution for it. Abnormal heart rhythms, known as arrhythmia, can be easily detected using sensors. In conventional hospital ECG machines, electrode placement causes high signal noise and skin irritation to patients. To overcome these issues, this AI-based portable system is proposed, where a sensor placed on the chest can efficiently monitor heartbeats and identify cardiac diseases. Need for AI in healthcare system At present, there is a huge need for this type of portable ECG system in the healthcare sector. Most rural hospitals do not have expensive 12-lead ECG machines and there are no cardiologists available, so patients don't get diagnosed on time. For ICU patients and old age people at home, continuous heart monitoring is very important to find arrhythmia early and avoid sudden death. So we need a low-cost and portable device which can check a heart...