• Krishna A.K
• Krishnaprasad.K
• Sushank
• Vaishak U.A
• Ms Pratheeksha B.R

This project’s approach to mental health detection through facial expression and sentiment analysis is remarkably simple and yet very effective. Our system uses OpenCV to do facial emotion detection in real-time, and employs pre-trained models for text-based sentiment analysis. By analyzing both visual and textual components, our system strives to achieve a fuller picture of a person’s emotional state.The webcam emotion recognition system comprises of facial expression recognition modules for happy, sad, angry, and fearful emotion detection which use Haarcascades and CNN-based approaches. At the same time, the sentiment analysis module uses VADER or TextBlob on user input texts to analyze their emotional value (positivity, negativity, or neutrality). Combination of multiple techniques increases accuracy. The results generated from previous modules can be integrated using weighted scoring or logic into one system allowing users to attain value beyond what is possible through a single method.The focus of our work was making a simple-to-use prototype with an intuitive design and exploring the use of multimodal emotion recognition technologies aimed at early mental health detection. Our study affirmed Random Forest models for text-based emotion classification. Basic emotions in facial expressions are recognized with reliable accuracy, according to prior research. Despite prior research showing limited correlation between emotions and facial expressions, we attribute the initial deviations from expected outcomes to basic emotions in fvace detection algorithms.

Mental Health Detection, Facial Emotion Recognition, Sentiment Analysis, OpenCV, NLP, Multimodal Emotion Recognition, Affective Computing

"A SURVEY ON MENTAL HEALTH STATE DETECTION USING OPENCV AND SENTIMENTAL ANALYSIS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 7, page no.558-564, July-2025, Available :http://www.jetir.org/papers/JETIRGX06108.pdf

"A SURVEY ON MENTAL HEALTH STATE DETECTION USING OPENCV AND SENTIMENTAL ANALYSIS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 7, page no. pp558-564, July-2025, Available at : http://www.jetir.org/papers/JETIRGX06108.pdf