An AI Integrated Emotional Responsive System: Kanmani-The Bot for India
G Aurobind, R. Ramachandiran · 2023
Virtual assistants have gained a lot of popularity since they simplify many of our jobs, especially during our hectic hours. It is one of the fantastic outcomes of the development of artificial intelligence. It may be improved by including elements for voice emotion recognition to make it more adaptable. As a result, it reduces the amount of time required to type and allows the user to complete the work according to their mood. As a result of our research, in this paper by using Machine Learning, Deep Leaning and artificial intelligence, we developed a model that enables people to interact through video and voice, enhancing the flexibility of a virtual assistant and recognizing emotions and speech, particularly when people want to interact with someone when there is no one around, as well as how valuable it is on a daily basis. The key goal or the main objective is “To empower the minds and ignite the possibilities, by unleashing the future through personalised technology”. I have split KANMANI into three working phrases, the combination of these three phrases will be your virtual companion, which is custom made for your personal world. First is the voice assistant, Artificial intelligence (AI) has made tremendous improvements recently, and its potential grows every day. NLP, often known as natural language processing, is an application field for AI. Voice assistants may converse with people in natural language and include AI, it receives the queries/ commands as speech signals and convert it and give us the output result as speech. Second is the Emotion Identification through speech and facial expression where it identifies the user's emotion and react to it with a quote. Third is the final level the Virtual Assistant, where user can interact through Video with AI that responds to user query with Emotion Detection.