AI Systems
Machine learning projects use model architecture choices, explainability tools, and web interfaces together so results can be understood by a real user.
KANISH PAUL
Developer Portfolio
Profile
Kanish Paul is a B.Tech Computer Science and Engineering student specializing in Artificial Intelligence and Machine Learning at the Institute of Engineering and Management, Kolkata. His work focuses on building practical software systems where full-stack engineering, machine learning models, databases, and real-time interfaces meet in production-ready projects.
The portfolio highlights projects such as TrustCall, a real-time scam detection system using WebSockets and DistilBERT; BrainSightAI, a tumor detection platform built with React, DenseNet, ResNet, and Grad-CAM visualizations; and a low-cost AI drone concept designed around Raspberry Pi 5 for search and rescue support. These projects show an interest in software that is useful, fast to inspect, and grounded in clear technical decisions rather than presentation-heavy demos.
Kanish works across Java, Python, SQL, JavaScript, HTML5, CSS3, React, TypeScript, Spring Core, REST APIs, Maven, MySQL, TensorFlow, Scikit-learn, OpenCV, Docker, Google Cloud, Git, and GitHub. His academic foundation includes Object-Oriented Programming, Design Principles, Data Structures and Algorithms, and relational database design.
Work
Full-Stack Apps
Frontend work is paired with backend APIs, database structure, and deployment awareness, with emphasis on readable flows and maintainable implementation.
Real-Time Tools
Projects such as TrustCall use real-time communication patterns to make detection, alerts, and feedback feel immediate instead of static or delayed.
FAQ
What kind of developer is Kanish Paul?
Kanish is a software engineering student focused on AI and machine learning, full-stack development, and practical systems that connect models to usable web products.
Which projects are featured here?
The site features TrustCall, BrainSightAI, a low-cost AI drone, a minimalist music player, and a priority queue vault demo. The Career page contains the detailed resume-style view and live project links.
What is the focus of this portfolio?
The focus is practical AI and software engineering: model-backed web products, real-time communication, clean database work, deployment awareness, and concise interfaces that make technical output easier to inspect.