A Smart Assistive System with Face Recognition, Emotion Detection, Age and Gender Identification

Blindness is a person’s impairment to sight. Our sense of sight is responsible for most of the information from the five senses. We develop a prototype of our idea of a new person based on the initial meeting, taking cues from the tiny behaviors and continuously refreshing our understanding of that person. A blind person cannot perform these. For this reason, there is a need to design such a system that is capable of collecting fundamental information from the instant a new person appears and is portable for convenience of operation. The information we can extract includes but is not limited to-gender, age, and emotions at the moment of conversation. Hence, we have utilized the Haar cascade approach in conjunction with a face recognition module to detect faces using a Convolutional Neural Network (CNN) to train models that can do age detection, gender detection, and sentiment analysis. To make it portable, we have modified our models to run on edge devices such as Raspberry Pi, NVIDIA Jetson Nano, Intel Neural Compute Stick, Nano Pi, Etc. At its core, our project is about aiding people with visual impairments. We want to make sure they can gain a deeper grasp of the people they interact with, such as knowing their age, gender, and even how they are feeling. We are using cutting-edge technology and making it run steadily. so that it is easy for them to utilize.