I prefer practical learning over theoretical concepts, engaging in projects that deepen my skills through intensive research and real-world applications. Here are some notable projects and research I’ve undertaken.
Developed a hands-free cursor control system using Python and OpenCV, achieving 90% real-time accuracy for accessibility.
A healthcare chatbot built using Flask and Hugging Face models, achieving 85% accuracy and providing real-time health insights.
Built a real-time face detection system using Python and OpenCV, achieving 95% accuracy with the Haar Cascade classifier.
Developed using Android Studio and Google Vision API, this app achieves 90% accuracy, offering an interactive learning experience for identifying animals.
Created a story generation model using Google Cloud’s Vertex AI, automating narrative creation with 85% accuracy.
Collaborative project implementing encryption, authentication, and fraud detection, ensuring secure e-commerce transactions.
Browser extension automating cover letter creation, integrated with API for personalized content based on LinkedIn profiles.
Developed a chess game with custom AI opponent, implemented using Python and Pygame for optimal user experience.
Interactive Dino game controlled by hand gestures, developed using OpenCV and Mediapipe for gesture recognition.
Automated data extraction from websites using BeautifulSoup and requests library, ideal for real-time data aggregation.
Configured VMware ESXi and created virtual machines to optimize resource utilization for a corporate environment during my internship.
Implemented complete LAN connections and networking setups, working on the hardware and software integration for all PCs in the network.