A Medical Chatbot with Object Detection Feature for Improved Patient Care

Artificial intelligence (AI) utilizes computers and other devices to simulate how the human mind makes decisions and solves problems. Artificial intelligence is a vast area of research in the modern world, and one of the main applications of AI is the human assistant system. This assistant is incorporated with Navigation, speech recognition, and object detection. The chatbot's multifaceted role is being investigated in many healthcare scenarios. Its purpose is to collect patient symptoms, follow up with an interview, and then offer a potential diagnosis and triage consultation based on their responses. To develop this, Support Vector Machine (SVM) classifier is used. For analysis, the chatbot was also tested on Naive Bayes (NB) and K-Nearest Neighbor (KNN) algorithms. The developed assistant is a humanoid robot, it was created in order to recognize and evaluate voice commands and carry out relevant activities. This bot includes a speech recognition model that is constructed using the KNN algorithm, which processes speech and recognizes speech that was produced using speech processing techniques. The bot is designed to navigate in uncharted territory, with the system's primary actions being obstacle recognition, obstacle avoidance, and course planning utilizing a line-following robot. Human barriers are detected during navigation, and a voice command will be given to notify humans to clear the way for the bot as it is navigating.