Projects

Catch-me-if-you-can Link to heading

Jun 2024 - Jun 2024
Associated with Northeastern University

Developed a fun multiplayer map-based game using Flask and React.js for a dynamic interface, and Redis for real-time message queues, enabling responsive real-time navigation and interaction for three players, one cop and two culprits.

Skills: Flask · Python (Programming Language) · React.js · Amazon Web Services (AWS) · AWS CodeBuild · AWS ECS · Continuous Integration and Continuous Delivery (CI/CD) · Redis
GitHub - aashishrc/catch-me-if-you-can

TherapEase.ai Link to heading

Feb 2024 - Feb 2024
Associated with Northeastern University

Developed a Game-Based Pre-Therapy Questionnaire utilizing BART and Stable Diffusion-XL ML models for Diall Mental Health AI Hackathon 2024.
Executed an algorithm for a pictionary game, each image depicting a pre-therapy question, and generated summaries.
Created a React.js frontend integrated with a backend built using Node.js, Express.js, and MongoDB.
Finished in top 2 Best Projects among 50+ teams participating at the Diall Mental Health Hackathon.

Skills: React.js · Node.js · Machine Learning · Artificial Intelligence (AI)

TaskSphere Link to heading

Nov 2023 - Dec 2023
Associated with Northeastern University

Designed and developed user interfaces for TaskSphere using React.js, focusing on creating an intuitive and visually appealing user experience.
Integrated innovative Kanban-inspired features into TaskSphere, streamlining project organization and contributing to a more efficient workflow.
Developed robust REST APIs for TaskSphere’s backend using Java, applying object-oriented principles like factory patterns to ensure a scalable and maintainable architecture.
Enhanced data processing efficiency in TaskSphere’s backend by leveraging the capabilities of Java Stream APIs.
Executed comprehensive testing strategies in TaskSphere’s development, ensuring a seamless and reliable frontend experience for users.

Skills: React.js · Spring MVC · PostgreSQL · Spring Framework · MERN Stack · Java · Object-Oriented Programming (OOP) · Spring Boot
Other contributors

UniCycle Link to heading

Nov 2023 - Dec 2023
Associated with Northeastern University

Directed the end-to-end development of a dynamic web app using the MERN stack, providing students with a platform to sell their used products seamlessly.
Created modular components to ensure a modern and user-friendly interface, enhancing the overall experience for users of the student marketplace.
Engineered efficient processes for data management, optimizing user engagement within the web application.
Implemented AWS for hosting, optimizing performance, reliability, and scalability of the student marketplace, ensuring a robust and scalable platform.

Skills: React.js · Node.js · MongoDB · Amazon Web Services (AWS) · MERN Stack · Express.js

Yoga Pose Estimation System Link to heading

Sep 2021 - Jul 2022
Associated with B. M. S. College of Engineering

Designed and implemented a neural network model leveraging Transfer Learning, MobileNetV2, and MoveNet Thunder algorithms to analyze user posture and provide real-time audio guidance for correct yoga poses.
Integrated this model seamlessly with a ReactJS front-end, hosted on Heroku, and achieved a notable accuracy rate of 68.75%, earning the prestigious Best Project Award for the 2021-2022 academic year.

Skills: React.js · MobileNet V2 · MoveNet Thunder

KrishiUdhyog Link to heading

Jul 2020 - Jan 2021
Associated with B. M. S. College of Engineering

Researched challenges encountered by agricultural farmers in proximity to Bangalore, subsequently analyzing and discerning their specific needs. Devised a tailored solution to effectively address their requirements.
Developed an Android Studio app using Java and Firebase to establish a direct sales platform for farmers, eliminating intermediaries and yielding a 30% profit increase compared to traditional middlemen-driven sales.

Skills: Android Studio · Firebase · Java