A Non-Invasive Method for Detection of Thyroid and Thyroid Dysfunction Diagnosis in Human Blood

Thyroid is an organ with two wings that resembles a butterfly on anterior neck. It produces T3 and T4 hormones. The occurrence of hypo and hyperthyroidism is increasing as a result of lifestyle changes. Particularly in growing youngsters, the thyroid hormone plays a number of critical roles in the body's growth and metabolism. Hypothyroidism (low thyroid function), Hyperthyroidism (high function), Structural problems, such as thyroid gland enlargement, Benign and malignant tumours are different types of thyroid illness that affects the thyroid gland function. The aim of this research is to create a low-cost, non-invasive thyroid illness detection and classification model. With the least amount of discomfort for the patients, this research produces the most practical, efficient way of thyroid detection. In the proposed study, thyroid disease is first detected and then classified using a variety of sensors, including an IR temperature sensor, a pulse rate sensor, and a MAX30100 pulse sensor. The sensors interact with the ESP32 board for additional processing and sensing and measure body temperature, pulse rate, and blood absorbance level. An efficiency of between 70 and 75 percent is anticipated for the suggested approach.