• Esha Makwana
• Omkar Singh
• Femenca Noronha
• Mehul Kahar

The Depression is the major issues in these World, million of people are suffering from Mental issues due to unavailability of treatment and services of depression detection. Depression is the most common disease now days Depression is a significant mental health disorder that affects millions of people worldwide. Detecting depression at an early stage is critical for timely intervention and treatment .The Main objective of these research to recognized the Symptoms by creating the application, by using the several algorithm like Random Forest, Naive Bayes, and Support Vector Machine and with accuracy of 85%, 72.22%, 80%.The data set is in CVS files.

Depression Detection, Random Forest, Naive Bayes, Support Vector Machine, Mental issues.

"Depression Detection Using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 9, page no.e809-e812, September-2024, Available :http://www.jetir.org/papers/JETIR2409505.pdf

"Depression Detection Using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 9, page no. ppe809-e812, September-2024, Available at : http://www.jetir.org/papers/JETIR2409505.pdf