International Journal of Scientific Research and Engineering Development

The world is seeing more people with mental health issues like stress, anxiety and other health problems caused by our lifestyle. We need to change how we deal with healthcare moving from treating problems as they happen to creating a system that helps people stay well. Current digital health tools often work in isolation. Don't understand how our emotions and bodies are connected. This research introduces LifeMood AI, a system that uses artificial intelligence to help manage our overall well-being. It looks at how we feel, our facial expressions and our bodies to understand our state. The system uses Deep Learning to figure out how people feel by looking at their faces. It is trying to understand what is going on in someone's mind by looking at them. The Deep Learning system has a computer chip called a Neural Network. This Neural Network helps the Deep Learning system understand how peoples emotions change over time. The Deep Learning system is really good at this because the Neural Network is very good, at helping the Deep Learning system understand peoples emotions. The Neural Network is really good, at seeing how Deep Learning and emotions are connected to each other. The system uses Deep Learning and the Neural Network to get an understanding of peoples feelings. This helps it spot signs of stress and other mental health issues. The system also looks at what people say and how they say it to understand their emotions. It uses a computer program called a Transformer. This program helps understand what words mean and how they connect to each other. It also checks how people talk.This includes the way people sound, like the tone of their voice and the pitch. The system gets information from devices like the smartwatches that people wear and the fitness trackers that people use. These devices track things like the heart rate of the person wearing it their sleep patterns and the oxygen levels in their blood. The system uses this information to see how peoples bodies are reacting to stress and other emotions like feeling happy or feeling sad and the system uses the fitness trackers and the smartwatches to get this information, about peoples bodies and the way people sound. It wants to know what is happening to people when they are feeling stressed or upset. The system has rules that look at all this information to understand how people are feeling. It uses a math method called Bayesian Inference to find out what causes peoples emotions. Then it uses this to suggest ways to help people deal with stress and other mental health issues like anxiety or sadness. The system is designed to be open. This way people can understand how it works. The system wants people to know what's going on. It uses techniques called SHAP and LIME to explain how it makes predictions, about peoples emotions. This helps people trust the system. They feel more in control of their health and emotions. The system is also designed to be secure and protect peoples information. The system is, like a box that keeps peoples information private and does not let anyone else see it. It uses encryption techniques to keep data safe and secure. This thing is also made to be used by a lot of people. It is really helpful because it gives people a way to take care of their mental health and well-being. This thing helps people get the help they need without having to go to a doctor all the time it is like having a doctor at home. health and well-being research has the potential to make a difference, in peoples lives and in mental health and well-being. The LifeMood AI system uses Multimodal Sentiment Analysis to connect the dots between what's happening in our bodies and how we are feeling. It does this by looking at the information from sensors like Heart Rate Variability and Spontaneous Skin Conductance and combining it with the results of analyzing our facial expressions. This gives the system a picture of our emotional state. It is not just looking at one thing like a heart rate but it is also considering the context of our day. For example if our heart rate is high. We are smiling while we exercise that is different from having a high heart rate and looking distressed during a meeting at work. This helps the system to accurately detect when we are feeling stressed. It takes into account the complexities of our lives. The LifeMood AI system does not just stop at detecting stress it also helps us to manage it. It uses something called Proactive Behavioral Nudging to help us make changes in our behavior. The system looks at the information it has gathered and uses it to identify the signs that might indicate we are heading for a mental health crisis. For instance if we are sleeping well and starting to withdraw from our friends the system can suggest that we do something to help ourselves like a mindfulness exercise or a phone call to a friend. The system is designed to help us take care of our well-being so we do not have to rely on doctors and hospitals as much. This can help to reduce the pressure on the healthcare system in the run. The LifeMood AI system is also designed to be transparent so we can understand how it is making its decisions. It uses tools like SHAP and LIME to explain why it is making suggestions. For example the system might tell us that we need to take a break because our voice sounds anxious and we have not been getting sleep. This is important because it makes us believe in the system and feel like we are, in charge of our well-being. The system wants to assist us. It is saying that we need to take care of ourselves. When we know why the system is making suggestions we are more likely to listen to the system and do what it says.

Arya Khopade, Ankita Khot, Harshvardhan Thorat, Mrs.Suvarna Tone,"LifeMood AI – Emotional and Physical Wellness Assistant" International Journal of Scientific Research and Engineering Development, V9(2): Page(1369-1377) Mar-Apr 2026. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.