• Soumen Sen
• Subham Bhattacharya
• Samrat Chatterjee
• Shreya Shrivastava
• Arpita Sen

Early detection of mental health issues allows specialists to treat them more easily and it improves patient’s quality of life. Mental health is about one’s psychological, social and emotional well-being. It affects the way how one thinks, feels, and acts. Mental health is very important at every stage of life, from childhood and adolescence through adulthood. In an era where mental health challenges are on the rise, the need for innovative and objective assessment tools has never been more pressing. The System, an AI-based cross platform application designed to transform the way we detect and assess various mental health conditions also it gives a mental support system using the face detection system and AI chatbot which uses GPT 3.5 API and gives a mood based on the statement the user have provided. The product also has a feature called Mood-O-Meter that shows the current mood based on the assessment provided. By leveraging data from multiple sources, including text, speech, and physiological signals, Monoscope offers a comprehensive solution that goes beyond traditional methods. There are lots of application in the market, but our application has the AI chat bot as an USP. There is also the Community support which has a system to enable the people with daily walks of life to help the user without knowing his/ her real identity. Also, if any offensive or abuse is made, the chat will be closed and deleted immediately.

"Mental Health Support System using Artificial Intelligence", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 6, page no.i692-i699, June-2024, Available :http://www.jetir.org/papers/JETIR2406876.pdf

"Mental Health Support System using Artificial Intelligence", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 6, page no. ppi692-i699, June-2024, Available at : http://www.jetir.org/papers/JETIR2406876.pdf