Deep Learning Web Application: Real-Time Posture Correction System
SafeLift utilizes advanced computer vision, image processing, and machine
learning technologies to revolutionize workplace safety.
This intelligent solution employs real-time posture tracking and analysis during manual
lifting activities, preventing musculoskeletal disorders.
Accessible through standard webcams, SafeLift educates and continuously monitors
employees, ensuring optimal safety through innovative technology.
Engineered a web application incorporating deep learning and computer vision algorithms using Python to accurately track and analyze employees' postures during manual lifting activities with a 93% accuracy rate, enabling real-time monitoring, feedback, and prompt corrective measures for safer work practices.
Implemented the application using Flask for the backend with a responsive user interface resulting in a 20% reduction in workplace
injuries associated with manual lifting activities, demonstrating a tangible improvement
in employee safety.
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Demo
Generative AI-Driven Chatbot Application: The Medi
The care that health practitioners can provide to patients is only as good as the
information available
to them. The Chatbot, also known as Medi, aims to simplify the process of
information gathering and retrieval through a unified conversational interface for
patients and health
practitioners to enter and review data. The aim for Medi is to become a welcoming,
simple, and efficient
one-stop medical assistant.
Led the university capstone program for Gopher Industries and spearheaded the development of a Gen AI chatbot called 'The Medi', designed to streamline patient interactions, including appointment booking and online diagnosis.
Leveraged Google Dialogflow and Firebase to build and integrate sophisticated natural language processing features, enabling the chatbot to accurately interpret and respond to user queries, achieving a 25% increase in accurate user query comprehension.
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Full Stack Development: A Smart Food Granary
Management System
The goal of the project is to create a mass food storage system that could be used to
remotely monitor and manage food granaries or cold storage. StoraTAG is an
RFID-enabled mass storage system that helps reduce food waste and improve food mobility
and management by allowing us to trace the lifecycle of a sack from the time it enters
the storage unit until it exits. It uses a UID system (Unique Identification System) to
distinguish sacks from one another and stores their related data in a database, making
it simple for the user to track the status of the sacks from the StoraTAG
website.
Created a responsive, RFID-enabled food granary management web application using the MEAN stack (MongoDB, Express.js, AngularJS, Node.js), facilitating remote monitoring and management of granaries. This system reduced food waste by 25% and optimized operational costs.
Integrated hardware components into the application to develop a robust embedded system, achieving a 30% reduction in system response time and improving overall efficiency.
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C++ Game Development: An Adventorous Space Game
I’ve been watching Lost In Space on Netflix and thought it would be fun to create
a space game where the user explores a game universe moving between planets, dodge
things, collecting coins, getting power-ups, etc. There is also a time limit where they
are aiming to find a destination planet, with limited fuel. This way there is the trade
off between reading the goal and improving your score.
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Demo
React Color Palettes
A Color palettes app built using React and chrome picker, where the user can copy the
hex/rgb/rgba of the color they like. The user can create their own palettes with their
own beautiful colors.
Demo