This section showcases the diverse projects I've worked on, where I applied my skills to solve real-world problems. From AI-driven solutions to web development and data analysis, each project reflects my ability to innovate and deliver impactful results. Explore this section to see how I've leveraged technical expertise and creativity to create meaningful solutions that address unique challenges across various industries.

Medzi

Hospital Locator Website

Built a real-time hospital locator using React.js, Node.js, Firebase, HTML, CSS, and Google Maps API. Enhanced search efficiency by 30% and reduced response times by 25%. This project required skills in front-end development, back-end integration, API usage, and user experience optimization to improve access to emergency medical facilities.

Github

Face Mask Detection

Convolutional Neural Network

Created a real-time mask detection system using Python, TensorFlow, CNN, Keras, OpenCV, and Kaggle. Achieved 99% accuracy, deployed in public locations to enhance health safety and enforce mask mandates, showcasing skills in machine learning and computer vision.

Kaggle

MIRA

Personal Assistant AI Chatbot

Developed a real-time LLM chatbot integrating Speech Recognition, Text-to-Speech, Web Scraping, and OpenAI API, improving response accuracy by 40%. Implementing LSTMs to boost user engagement by 35%. Currently under development, with plans to reduce response time by 54% and enhance accuracy by 12% using extensive web scraping. Not yet open-source.

Gender and Age Prediction

Convolutional Neural Network

Developed CNN model using TensorFlow, trained on 12,000+ images, achieving 99% training accuracy and 90% validation accuracy. This project showcases expertise in deep learning, image classification, and CNN model optimization for high-accuracy predictions.

Kaggle

Breast Cancer Detection

Machine Learning

Built a Random Forest model for breast cancer detection, achieving 98% training accuracy and 95.9% validation accuracy. Applied machine learning for predictive analytics in healthcare, demonstrating expertise in model training and evaluation.

Kaggle

FineGPT

Generative AI

Fine-tuned ChatGPT-2.0 for basic chatting queries, enhancing response relevance and coherence. Built to explore LLMs, improving text generation and dialogue handling. This project deepened my understanding of fine-tuning techniques, and I plan to expand it further with better datasets and improved contextual awareness. The link is the for the structure of code. Not made it open-source yet.

Github

Image to Sketch

Image Processing and GUI

Developed a GUI-based application using Python, OpenCV, and Tkinter to convert images into pencil sketches. This project enhanced my skills in image processing, edge detection, and GUI development. Built as a learning experience, it lays the foundation for future improvements in real-time filters and AI-powered enhancements.

Github

Vedas

Operating Systems

Forked a Linux open-source project to explore operating system architecture and core functionalities. Developed a basic OS structure with Linux-like commands, process management, and file handling. This project deepened my understanding of kernels, system calls, and memory management, laying the groundwork for future enhancements in OS customization and optimization.

Github

The projects highlighted above represent some of my key technical endeavors, where I have applied and expanded my expertise in Python, C++, Java, and Kotlin for mobile app development, as well as C# for game development. Beyond these, I have also worked on smaller-scale projects, each contributing to my understanding of emerging technologies, system architectures, and their integrations. These experiences have strengthened my problem-solving, teamwork, and leadership skills, reinforcing my commitment to continuous learning and innovation in the ever-evolving tech landscape.