An Interactive System for Assessing Emotional Wellness S. Akshaya, T. Pranitha, S. Sree Harika, V. V. Priya Bharathi, C. Jyotsna, and J. Amudha Abstract A healthy individual is described by physical strength, mental stability and emotional wellness. With endlessly populated cities and breathtaking lifestyles, the wellbeing has been reduced to balancing nutrients in our diets, keeping our happiness and peace on bait to emotional evils including depression and anxiety. An anxious state is characterized by boundless fear or surplus negative thoughts or shattering confusions and worries that disturb the tranquility of an existence. Dealing with anxiety is big problem but identifying and diagnosing an anxious state is an even bigger problem. The aim of this study is to build an interactive system for identifying the presence of anxiety disorder in an individual by interacting with him/her through an ordinary questionnaire that evaluates an individual’s mental disposition. The eval- uation is performed by Mamdani fuzzy inference system (MFIS) that measures every input provided by the user to infer his/her wellness stature. The user is provided with an analysis score, and follow-up leads if required for prognosis. The primary goal is to make people aware of the emergency to take care of his/her mental health hiccups through an assessment. Keywords Anxiety disorder · Expert system · Mamdani fuzzy inference system · Fuzzification · Defuzzification 1 Introduction Anxiety has always stayed as a recurrent understated topic for discussion or consid- eration. One of the upsetting facts about anxiety disorder is its predominance among youth, and it has been cited as the most popular mental illness that victimizes around S. Akshaya · T. Pranitha · S. S. Harika · V. V. P. Bharathi · C. Jyotsna (B ) · J. Amudha Department of Computer Science and Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Bengaluru, India e-mail: c_jyotsna@blr.amrita.edu J. Amudha e-mail: j_amudha@blr.amrita.edu © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022 V. S. Reddy et al. (eds.), Soft Computing and Signal Processing, Advances in Intelligent Systems and Computing 1340, https://doi.org/10.1007/978-981-16-1249-7_25 259