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Emotion AI chatbot App



This mobile application has to deploy AI Sentiment-Analysis, AI Chatbot, AI TTS, and AI STT technical.

The benefits of using AI chatbot

For the mobile application, first, it uses an AI chatbot that allows students to express feelings and emotions with text and speech by brainshop API. And the chatbot will positively respond to them so that they can express their deep side emotions. An AI chatbot is better than a normal chatbot because creating the AI chatbot no need to write multi-line of if-else code. So, it can reduce the time to create a chatbot. Moreover, users do not need to type in specific words and sentences and can get replies. Also, AI chatbot can work 24 hours a day.

The benefits of using AI NLP

Second, it makes student conveniently communicate as it had integrated Speech to Text by Google. STT means transform speech to text, user input the voice data and AI will transform it to message or text. It makes AI chatbot more like a real human by Google TTS. TTS means transform text to speech, chatbot input the message data and AI will transform it to speech.

The benefits of using sentiment analysis

Finally, it will collect the message to do sentiment analysis when the student talking to the AI chatbot. The Sentiment-Analysis will identify whether the user messages are positive or negative. The number of positive or negative will be stored in the SQLite database. It shows how many per cent of positive, negative or zero at the pi chat so that students could see the emotion emotional shift. If the app finds that the user's mood changes too much, it will prompt him to see a doctor or pay attention to his mood changes. AI sentiment-analysis technical can help to analyse text positive or negative. The good of this technology it can analyse the feeling about the user message.

How does sentiment analysis work

The API have already train the model and label the text to positive and negative. For example, if the AI model is trained the word “happy” is positive when the sentence has the word “happy”. It will detect it is a more positive sentence.



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