AI/ML Chatbot
By Trigma
Client
Pulse By Fierce
Services
Project Description
OBJECTIVEMental health care is a growing issue in today’s society. Many people are struggling with depression, anxiety, and other mental illnesses that can make it difficult to cope with day-to-day life. To solve this issue, the client wanted to build a mental health AI chatbot. This would help identify the stress that a person is experiencing and then recommend blogs, podcasts, meditation, and more to help them cope with the stress. APPROACHThe client provided us with a scenario that consisted of different types of stress. We build our AI chatbot in such a way as to provide the best recommendation options, which can then be applied to their health decisions. The AI chatbot does context analysis and sentiment analysis. We used natural language processing (NLP) to check the context of the message provided by the user and then Spell Check after the user inputs a line and it outputs a message. The AI chatbot also analyzes sentiment and messages based on general requirements. After that, suggestions will come up in order to promote positivity including blogs, podcasts, and more. The AI chatbot is a self-learning bot that learns from past conversations. It can learn when people ask the same question or provide feedback. The AI on the chatbot helps it to provide better answers next time, ensuring an improved response rate. IMPACTUsers felt chatbots to be more approachable than interacting with human beings, as there is more control in starting and stopping a conversation. They found the bot friendly, feeling as if they were talking to an actual human. This AI chatbot helped so many people that we received over 2200 reviews in just 1 week. This also helped the bot to understand how people respond to different replies that the bot gave them. RESULTS:80% - Improvement in the Mental Health of students30% - Decrease in stress level20% - An increase in the number of students who seek mental health help.
OBJECTIVEMental health care is a growing issue in today’s society. Many people are struggling with depression, anxiety, and other mental illnesses that can make it difficult to cope with day-to-day life. To solve this issue, the client wanted to build a mental health AI chatbot. This would help identify the stress that a person is experiencing and then recommend blogs, podcasts, meditation, and more to help them cope with the stress. APPROACHThe client provided us with a scenario that consisted of different types of stress. We build our AI chatbot in such a way as to provide the best recommendation options, which can then be applied to their health decisions. The AI chatbot does context analysis and sentiment analysis. We used natural language processing (NLP) to check the context of the message provided by the user and then Spell Check after the user inputs a line and it outputs a message. The AI chatbot also analyzes sentiment and messages based on general requirements. After that, suggestions will come up in order to promote positivity including blogs, podcasts, and more. The AI chatbot is a self-learning bot that learns from past conversations. It can learn when people ask the same question or provide feedback. The AI on the chatbot helps it to provide better answers next time, ensuring an improved response rate. IMPACTUsers felt chatbots to be more approachable than interacting with human beings, as there is more control in starting and stopping a conversation. They found the bot friendly, feeling as if they were talking to an actual human. This AI chatbot helped so many people that we received over 2200 reviews in just 1 week. This also helped the bot to understand how people respond to different replies that the bot gave them. RESULTS:80% - Improvement in the Mental Health of students30% - Decrease in stress level20% - An increase in the number of students who seek mental health help.
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