Last weekend I attended a hackathon after a long time. HackInOut, which is India’s biggest community hackathon, was happening very close to where I live. I went with my office colleagues Vivek and Karan and we had discussed a lot of ideas before reaching the venue, but we were not sure what we will finally end up building. After discussing our ideas with Siddharth Shetty, an iSpirit fellow and one of the mentors at the hackathon, we finally decided to build PaisaVasool.
Recently I took part in EthIndia Hackathon that took place in Bengaluru. This time I was participating without a team after a long time and made a team on the day of the event. All three of us (Ronak, Ayush and I) had a different idea of what we should work on but we finally came to a consensus on an idea that I had got from my current workplace’s CTO (Kailash Nadh).
Genie is a Voice Assistant made up of three agents who talk to you and help you automate software engineering tasks. Watch the video to understand what it can do for you.
Featured on Google’s Instagram Page. View this post on Instagram Using our open-source machine learning framework TensorFlow, self-taught coder Rohan invented an app that provides nutritional info on food just by snapping a picture of it. See our story today for more on this computer science rockstar from New Delhi. #SearchOn A post shared by Google (@google) on Feb 21, 2018 at 11:35am PST
The ridiculous effectiveness of Deep Learning has lead to research on tools that help to analyze these Deep Neural Network based “black boxes”. Recent research papers by the Information Theory community to analyze has rise to a new tool, The Information Plane, which can help analyze and answer various questions about these networks. This article, provides a brief overview of the concepts from information theory required to develop an understanding of the Information Plane, followed by a replication study of the implementation of the paper that introduces this theory with respect to Deep Neural Networks.
Objective Use Facial Expressions to find segments of the video where engagement is above a threshold and display advertisements during those segments. Domain Background Internet Video Traffic will account for over 80% of all consumer internet traffic in the coming years. According to Cisco, by 2021, every second, a million minutes or almost 17,000 hours of video content will be uploaded on the internet. The whole video market is changing how businesses, brands or government communicate.
I attended HackTheNorth, which is Canada’s Biggest Hackathon and takes place at University of Waterloo campus. I was glad to join over 1000 students from around the world at the University of Waterloo to collaborate and create something extraordinary in 36 hours. I didn’t go in as a team as the visa process was a bit delayed and so none of the participants from India knew if they would be able to go.
I developed a chrome extension to track usage. You can view the code on GitHub
Objective of this project was to show as a proof of concept that we can pick up any off-the-shelf generic lamp and by implementing minor hardware changes using an arduino, convert it into a Smart Lamp. We have implemented lamp switching based on environmental factors (such as Temperature, Light intensity etc), hand gestures (such a clapping actions), which can be set up by the user by attaching triggers to various conditions in the User Dashboard which was made in Processing 3.
Wireless Sensor Network is an emerging area that shows great future prospects. Today such networks are used in many industrial and consumer applications, such as military, industrial process, monitoring health and in automated and smart homes. So far, the researchers have only focused on making WSNs useful, feasible, and less emphasis was placed on security. The sensors used are susceptible to different types of attacks, denial of service, physical tampering. In hostile scenarios, it is very important to protect WSNs from malicious attacks.