Engineering concepts are often mathematically intensive and difficult to interpret from equations alone. This project transforms abstract theory into interactive visualizations — making learning more intuitive, engaging, and memorable.

Instead of solving equations on paper, users can explore how systems behave in real time — from control systems and signal processing to advanced digital architecture. Every tool here is built around the belief that seeing a system is worth a thousand derivations.

Electronics and Telecommunication Engineering student at Jadavpur University, with a strong focus on digital design, computer architecture, and system-level engineering.

My work centers on building systems from first principles — understanding how theory translates into hardware. I have designed and implemented 32-bit RISC-V processors, working from high-level HDL descriptions down to gate-level implementations using fundamental logic components.

Through these projects, I have developed a deep understanding of datapath design, control logic, instruction execution, and hardware verification. This platform was created to share that practical understanding with other students and engineers.

This platform was co-created with Gemini, an AI assistant. While Anish provided the engineering concepts, mathematical logic, and overall system architecture, Gemini acted as the coding assistant to translate those ideas into the modern, interactive web components you see here.

The collaboration reflects a workflow that's becoming increasingly important: domain expertise paired with AI-assisted implementation to build faster without sacrificing depth.