Hi! I'm Akshat Khare, a Computer Science undergraduate student at Indian Institute of Technology, Delhi. I'm a tech enthusiast. I am successful Google Summer of Code 2018 participant with Open Roberta Lab, Fraunhofer IAIS, Germany. I love coding, developing, ethical hacking and working on various projects. I’m very much interested in artificial intelligence, analysis and design of algorithms, formal methods, network and security, distributed computing and web application development..
I've also been very passionate towards working for the society. Henceforth, it is my aim to be able to contribute to the society by making efficeint use of technology. My actions are therefore a direct manifestation of my zeal to remove complexity for users and thus making the world a better place to live.
This project was developed as a part of the Summer Project for Center of Excellence in Cyber Systems and Information
Assurance (CoE-CSIA), IIT Delhi.
Project typically included network
penetration testing and application security testing as well as controls and processes around the networks and applications, and should
occur from both outside the network trying to come in (external testing) and from inside the network.
Click here to see the report. Click here to see the presentation.
This project was developed as a part of the Debugging Project for Robotics Club, IIT Delhi.
Worked on Android Studio, and made an app to integrate Arduino with an Android device via Bluetooth module (HC 05) in Arduino
and Bluetooth adapter in Android device. Can act as a remote control vested in your phone to control any Arduino Mega or Duo powered
bot. Controlled speed and ramping of the line following bot efficiently.
Overall Winner of the Hackathon, being funded and supported by Startups LiveMedia, Solve. To be presented to Ministry of India, by May
2018. Working to make it mobile app based solution.
Made an application which calculates the distance of a vehicle from the device by using 2-D images taken from the camera, consequently
checking if the 3-second rule is being followed or not, thereby reducing accidents on road. Used Machine Learning techniques with Open Source
tools like OpenCv, Visual Studio 2018. Lane-Detection and other obstacle detection are also being done.