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Revelio is an object detection service to help businesses to automate their object detection processes by providing them web services and API services which can be custom trained according to their requirements. This project aims to provide a general object detection solution that enables businesses to carry out any object detection tasks whether it being for video analytics or agriculture analytics.

Mr. Blue is an online CRM through which multiple dealers can register themselves and manage their staff members, customers, files and custom messages. With the automation for dealerships, the platform also has inbuilt conversational panel and chatbot trained for its users. This project aims to provide third-party CRM integration with its existing features to enable dealers to interact with its customers efficiently.

This face recognition system intends to detect the liveness of a person. Most facial recognition algorithms detect a person’s face from video feeds as well as a photo. However, that system fails in the case of facial recognition security system to distinguish between a real person and its photo. This inability to recognize faces is because these algorithms work on 2D frames. Liveness detection is a must when you implement a face recognition system for attendance entry or a face recognition-based security door opener. With this intention, I have implemented a face recognition system that recognizes a real person instead of a photo. For detection and recognition of faces, a face recognition library is used which provides very useful deep learning methods to find and identify faces in an image.

Hand Gesture Recognition

The vision-based innovation of hand gesture recognition is an essential piece of human-PC communication (HCI). Specifically, advances, for example, discourse recognition and gesture recognition get extraordinary consideration in the field of HCI. Hand gestures are one of the most intuitive and common forms of communication and can communicate a wide range of meanings.

Vision-based hand gesture recognition has received a significant amount of research attention in recent years.In the vision-based hand gesture interaction process between humans and computers, gesture interpretation must be performed quickly and with high accuracy.

Emotion Recognition using Facial Expression

The main aim of the project is to develop a robust system that can detect as well as recognize human emotion from a live feed. There are some emotions that universal to all human beings like anger, sadness, happiness, surprise, fear, disgust, and neutrality.

This has applications in fields of security, surveillance, robotics, etc. The objective of this system is to implement facial Emotion Recognition to identify a person’s emotions from a live video feed. The algorithm in this system works in the real-time feed from webcam and displays the person’s emotions based on their probabilities of emotions.

Covid19 Chatbot

This COVID19 chatbot created using RASA framework have been a great help especially healthcare in this critical time to help spread information about the CORONA virus. This chatbot offers a range of information about the pandemic in a conversational and easy to understand manner. The information includes symptoms, corona cases across India etc.