Facial Emotion Based Review Accumulation System
Himanshu Sharma, Devang Sharma, Krutarth Bhatt, Bhavya Shah · 2020
Multiple cases of fake reviews and false ratings concerning any place on Google Maps or any other advertising platform have been recorded over the past few years. In this paper, we develop a Visitor Rating System by employing a Raspberry Pi camera integrated with Raspberry Pi. The system mainly depends on the AWS cloud services which are utilized for storing and analyzing the collected ratings. For recording authentic ratings of actual visitors, the system uses Facial Emotion Recognition model to generate the rating data. The experimental results state that the system can recognize the emotions with 75% accuracy having more than 90% probability of recognition for any particular emotion. The proposed system which overcomes the limitation of false ratings is estimated to cost around 7,000 INR.