Sentiment analysis is an integral part of understanding human behavior and reactions to conversations. In simpler terms, understanding how a person reacts to the conversation. Each individual can react to a conversation textual or verbal in a number of ways, based on their beliefs, mindset, and other individual preferences. With a video call, understanding and analyzing an individual’s reaction becomes much simpler. This is made possible by facial features and muscular reactions such as smiling, frowning etc.

An end-to-end disaster recovery and management platform using decentralized swarm robotics (autonomous drones) using RTC (Realtime Communication) powered by agora.io to detect and track people in need of help. This information is relayed by our platform to people who are willing to help. The platform seamlessly integrates volunteers, people in need of help, and other interested parties. Drones collect information through a live stream that is sent to the servers in real time.

A platform to empower the public, provide help to children and orphans and protect them from abuse. We provide a platform that keeps the sensitive data secured by blockchain, uses FaceNet deep learning algorithm for facial feature recognition and cloud computing for big data analysis. We also integrate GPS location and implmented a form of YOLO to trach and find the children. A simple and easy to use PWA just allows the user to take a picture of a child.

A Progressive Web App to track subsidized product transactions using distributed ledgers, hence improving efficiency and transparency in the distribution of goods and services through various Govt. schemes. The algorithm includes a unique forward pass that integrates the tokens with the blockchain to allow for a back propagation to detect and handle errors. The block chain secures the item transactions and maintains the path followed by each item Problem statement The government spends $13.