“Ai-Powered Handheld Device For Malaria And Anemia Detection”

14 May
Posted on Author

Authors: Vinod, Prajwal A R, Kasturi Shantesh Halasagi, Meghana L D, Pradeep Kumara V H

Abstract: This project presents a low-cost, AI-powered handheld device for detecting Malaria (Plasmodium vivax) and Anemia from Giemsa-stained blood smear slides. The system uses an ESP32-CAM module for edge-based inference via TensorFlow Lite for Microcontrollers (TFLite Micro), eliminating the need for cloud connectivity or laboratory infrastructure. A MobileNetV2 CNN model quantized to INT8 precision is embedded on-device to classify blood smear images and output confidence scores. Results are displayed on a 1.8-inch SPI TFT screen and logged to a 32GBmicroSDcard. The device is powered by a5000mAh USB power bank and is built entirely from affordable, off-the-shelf components. It is designed for use by community health workers in rural and resource-constrained settings, providing a portable, battery operated, point-of-care diagnostic tool that does not depend on internet access, trained laboratory staff, or expensive equipment.

DOI: https://doi.org/10.5281/zenodo.20176874