This is a prospective, multicentric, non-treatment study to build and validate a portable, non-invasive smart breath analyzer that can screen underlying health issues using exhaled breath. The study will be conducted with healthy participants and participants with known cases of diabetes, kidney related issues, liver related issues, and lung related issues as confirmed by pathology reports. In phase 1, 500 apparently healthy individuals with normal levels of fasting and postprandial blood sugar, renal function test, liver function test, and lung function test will be recruited. In phase 2, 500 patients of type 2 diabetes, liver function, renal function, and lung function derangements each diagnosed by 10% increment above normal values will be enrolled. In phase 3, validation of the breath analyzer as a screening tool for early identification of type 2 diabetes, liver, renal, lung and other metabolic function derangements will be done by randomly assigning healthy and diseased participants for exhaled breath sample analysis. The study is based on the principle of exhaled breath analysis where parts per million and parts per billion level of volatile organic compounds and gases in human breath will be measured. AI based algorithms will be generated to effectively screen unhealthy biomarker levels, enabling timely preventive action.