Chatbot - Attendance and Location Guidance system (ALGs)
Sweena Kripa S, Lisa Margreat R, Shiny priscilla C, Sancy Swetha P, J. John Paul, Thusnavis Bella Mary · 2021
Well, Timely prediction and decision making are most indispensable in this modern era of internet of things (IoT). In this paper we propose a prototype of a CHATBOT for attendance and location guidance system (ALGs) using a raspberry pi-based computer. The proposed prototype autonomously marks attendance for the registered/known students and a guidance system for unknown students/parents in a school or university. The CHATBOT includes a webcam with Haar-Cascade classifier using OpenCV machine learning cross platform library for face recognition and a Google API for speech recognition. This speech recognition API converts the voice from the microphone into written text (speech into text) and vice versa. The prototype also includes an additional switch module, preferably when the user's microphone fails or unable to detect the user's input voice. The switch module comes with a set of 6 push button switches with predefined questions for each switch. The prototype is tested and provides good results for all the different use cases.