I’m a Computer Engineering student passionate about artificial intelligence, data science, and computer vision. I combine strong academic knowledge with practical projects to explore innovative applications of technology.
Currently studying at Khwopa College of Engineering, I’ve gained hands-on experience in AI, machine learning, and computer vision. From developing deepfake detection systems to building AI-powered assistants, I focus on creating solutions that address real-world challenges.
Explore my latest projects showcasing expertise in AI, machine learning, web development, and innovative technology solutions.
Advanced hybrid ViGNN and U-Net system for detecting and localizing deepfake content with high accuracy metrics.
Intelligent chatbot powered by Llama 3 for providing local bus routes, schedules, and travel information.
Full-stack web application for recipe management with user authentication and advanced search features.
Multi-modal AI system integrating JanusFlow and Stable Diffusion for generating unique rug designs with Gradio UI.
Deep CNN system to classify seven human facial emotions from images and webcam feed.
Face mask detection using fine-tuned ResNet18 with real-time webcam support.
Image captioning with ResNet50 encoder and LSTM decoder to generate captions.
U-Net model for brain tumor segmentation from MRI scans.
A comprehensive overview of my technical expertise across various domains including AI, machine learning, web development, and data science.
Fluent, production use
Modeling, CV, NLP
Analysis & visualization
APIs, tooling, infra
Recognitions and certifications I have earned to strengthen my technical expertise.
Acquired Foundational knowledge of HTML, including structuring webpages, working with tags, elements, and attributes to create well-formed web documents.
Learned how to query, filter, and manipulate data in relational databases using SQL commands such as SELECT, WHERE, JOIN, and ORDER BY.
Built a strong foundation in Python programming, covering syntax, variables, control structures, functions, and simple problem-solving with scripts.
Explored core Python concepts such as data types, loops, conditionals, and error handling, with a focus on problem-solving and algorithmic thinking.
Studied the fundamentals of cybersecurity, including cyber threats, data protection, cryptography basics, and strategies for securing digital environments.
Gained insight into the Internet of Things (IoT), its applications, and how devices, sensors, and networks interact to create smart systems.
Developed a foundational understanding of Artificial Intelligence concepts, including machine learning basics, data-driven decision-making, and ethical considerations.
Interested in working together or have any questions? Feel free to reach out!