Akash Ramjyothi

Rebel Foods (EatSure)

Data Scientist

June 20, 2026 – Present

Land-Cover-Classification-Satellite-Image-Processing

January 10, 2022 – August 10, 2022

Developed a and Cover Classification system using Satellite Image Processing with the help of Remote Sensing images. The system can classify between Forest land, Agricultural of Paddy fields nd Urban areas from a given Dataset. All the step by step procedure has been done and executed in the Jupyter notebook. The system can also clasify the Land cover into various other categories as well as shown in the Sample predicted results.

NASA-MATB-II-System

November 25, 2021 – November 29, 2021

Designed, developed and implemented various improvements for the existing NASA MATB-II interface software (Multi-Attribute Task Battery) and demonstrated in a real-time scenario. The Multi-Attribute Task Battery (MATB-II) is a computer-based task designed to evaluate operator performance and workload. MATB provides a benchmark set of tasks and analogous to activities that aircraft crew-members perform in flight, with freedom to use by non-pilot subjects. Developed the project as a part of my Internship at DRDO (Defence Research and Development Organisation)'s Delhi headquarters.

Intrusion-Detection-System

October 30, 2021 – February 25, 2022

Developed an Intrusion Detection System which can detect Intruders. It also makes an Alarm sound when detected to sound or warn the authorities or nearby individuals. Ideal to be used along with CCTVs for wide-area Surveillance purposes.

LinkedIn-Web-App-Clone

August 18, 2021 – August 19, 2021

Developed a clone of the "LinkedIn" web app. Used React.JS for the front-end and Firebase for backend service, storage and authentication and to make the project as much flexible as possible. Currently it consists only limited features and functionalities when compared to the original LinkedIn website.

LinkedIn-Mobile-App-Clone

August 18, 2021 – August 18, 2021

Developed a clone of the "LinkedIn App". Used Flutter SDK and Dart programming language to make it a cross-platform application i.e. to have support for both iOS and Android with a single codebase. Currently it consists only of limited functionalities with static user interface elements, but can later be configured to fetch data from a remote database or server with the help of APIs.

a-Live-Coder

July 24, 2021 – April 17, 2022

A Collaborative Code editor for pair programming, interviews, teaching and a lot more. The "a-Live Coder" is a code pair platform where users can share an interactive editor and write code together. It has language support for C++, Java and python. This application is based on the concept of operational transformation which forms the basis for a shared editor. Video calling is also provided within this application. It has some similar features as provided by HackerRank's CodePair platform.

UPI-Pay

July 11, 2021 – July 11, 2021

The project "UPI Pay" is an Android Application to make Payments through UPI (Unified Payments Interface). The Amount, UPI ID, Name and Remarks are set through the App, and when the button is clicked, the entities are Parsed into the selected desired application and after authenticating, the Payment is made to the specified Reciever. Made this project to demonstrate the support and integration of UPI Payment gateway into custom 3rd party applications.

PlayAR

June 14, 2021 – February 17, 2022

The Play"AR" is an Augmented Reality playground. The main intention of this project is to play with and test various pre-built models on many surfaces not restricting to only flat ones to attain a live demonstration of Augmented Reality in various scenarios. The objects being Augmented include 3D models, 2D models, Animated models and much more. Multiple Game Objects can be placed simultaneously on a surface.

Filter-Inator

June 13, 2021 – June 15, 2021

Filter-Inator is a Face-Filter android application based on Augmented Reality. The app projects certain 3D models as Filters on top of the face when detected by the rear camera. AR face filters are implemented using face tracking technique that track the position of face landmarks and a 3D rendering engine that displays the AR filter the way the user sees it.

Cloud-and-Fog-removal-System-using-Generative-Adversarial-Networks-Satellite-Image-Processing

January 2, 2021 – Present

Developed an AI System based on Generative Adversarial Networks (GANs) to predict and remove the Clouds and Fog from an Image captured from Satellite. Gets input of a Satellite Image with Clouds and outputs a predicted landscape without clouds. Demo prototype for my internship at ISRO Hyderabad campus National Remote Sensing Centre. Actual project has been configured and tested through Bhuvan.