Aditya Khadkikar's Projects
About me
Portfolio Website of Aditya Khadkikar
Implemented examples of concepts taught in a course about Data Structures and Algorithms, done in C as a learning activity.
A project done during the second year of the Software Engineering and Management program at GU & Chalmers University of Technology, where an algorithm was made to calculate the steering actuation request to be sent to a model autonomous car based on its movement and data.
Another module part of the distributed dentist booking system built in DIT356, driven by Typescript and MQTT, that handles the functionality behind creating, retrieving and updating appointments on the booking application.
A module part of a distributed dentist booking system for DIT356, that is responsible for actively checking availability of time as users book slots in real-time.
The GUI module of a distributed dentist booking system built with React and utilizing the MQTT protocol, done for the course DIT356 Mini Project: Distributed Systems.
Embedded and Real-Time Systems Work Packages
Google x MongoDB Workshop, where I customised the selection of PDFs that are converted to embeddings (IKEA manuals) and made a chatbot that can answer such queries.
Goldstone is a study music timer built with the Pomodoro study method in mind. The app not only allows users to start a timer and keep track of their total focused time, but also allows user to pick a YouTube playlist of their choice to play as they get on with their productive tasks.
A personal project that reads through a CSV file of student answers on a university website Canvas, and self-assigns into groups on Gitlab.
Nightwatch HTML Reporter
Java CLI application that handles making transactions, deposits, withdrawals, along with additional employee-end functionalities like registering/handling employees, validating transactions upon request and customer handling.
A command-line project where a user can purchase clothes & items, check prices, enter reviews, as well as provision of corporate-side functionalities like managing employees, promotions and job positions.
A bundle of packages, each with implemented examples of commonly-used software design patterns, of real-life examples, as a personal self-learning activity to understand how they work.
A data-intensive full-stack ML application that provides with an analysis of the future projected market trend, and community sentiment about a company's stock price.
A full-stack web application where users can search for handymen (plumbers, electricians etc.) in a specified area, and send requests as well as publish reviews.
An app designed using Arduino inside a virtually modified emulator environment, where a user can maneuver a car, and allow the car to park in a parking space autonomously.
A self-project where using PyTorch, I train a Long Short Term Memory neural network, on the NY Stock Exchange dataset split on 5 day-batches, to predict the prices of AAPL.
A simple template program written in rust
Full Stack University application with React and Spring Boot Framework