EMAIL
AI Lab
Engineering Minds in Artificial Intelligence Learning
A student-led engineering lab mastering the mathematical foundations of AI — from embedded neural networks on microcontrollers to autonomous systems that navigate the real world.
Built for engineers.
Driven by curiosity.
EMAIL AI Lab was founded on a simple conviction: building great AI systems requires deep fluency in mathematics, hardware, and systems thinking — not just calling APIs.
Members work on real problems: deploying neural networks on microcontrollers, building autonomous navigation systems, and developing computer vision pipelines from first principles. The lab operates with the rigor of a professional research group and the energy of a founding team.
Meet the Team →Four core directions.
Machine Learning
Neural architecture theory, backpropagation from scratch, optimization math, and training dynamics.
Embedded AI
Model quantization, pruning, and TinyML deployment on STM32, Arduino, and Raspberry Pi hardware.
Autonomous Systems
Perception-action loops, path planning, SLAM, and real-time control on aerial and ground platforms.
Computer Vision
Object detection, semantic segmentation, optical flow, and 3D scene reconstruction.
What we're building.
AI Drone Platform
Autonomous quadcopter with onboard vision, GPS-denied navigation, and real-time obstacle avoidance.
Embedded AI Systems
Quantized networks on STM32 and Arduino Nano for sub-5ms real-time classification at the edge.
Vision Pipeline
Modular real-time computer vision for object tracking and scene understanding on edge hardware.
All our work is public.
Browse repos, fork platforms, and contribute to active projects. Everything we build is open, documented, and built to be extended.
https://github.com/EMAIL-AI-LAB