Combine Python with machine learning principles to discover hidden patterns in raw data

Next Generation Electrostimulation Machine Development Kit

A modular 4-channel E-Stim.

Tens

Implementation of the model "sketch-RNN" by google for generating sketches with a variational auto encoder

MK312 Communication Wrapper

An E-Stim driver for the RP2040 microcontroller.

"新電性" Shin-Den-Sai is a Electrostimulation Machine Development Kit loosely based on the NeoDK

Fruitify is a charming fruit recognition project that harnesses the power of TensorFlow, an advanced machine learning framework.

In this project we will predict the cost required for a patient depending on his/her health conditions.

Real-Estate Price Predictor is a machine learning project developed to assist users in estimating the price of real estate properties based on various features such as location, size, amenities, etc. The project utilizes supervised learning algorithms to train models on historical real-estate data and predicts prices for new properties.

An Arduino Code that is integrated with a hardware model of a TENS Pressure Sensor Haptic Glove.

Fork of NeoDK (KiCad conversion, add USB, and Bluetooth support, DfM optimizations).

Assignments and final project for CMPT419/CMPT726

A Python-based solution leveraging OpenCV for real-time face mask detection. It utilizes computer vision techniques to detect and classify whether individuals in a video stream are wearing face masks accurately. The system provides visual indicators, enabling efficient monitoring and enforcement of mask-wearing protocols.

Simulating Deictic Pointing Gestures across Distances Using Electro Muscle Stimulation

BirdClassifier is a deep learning model designed to identify various bird species accurately. It leverages cutting-edge technology, integrating MobileNet-v2 and Convolutional Neural Network (CNN) architectures. MobileNet-v2 is chosen for its lightweight and efficient design, making it ideal for mobile applications.

Electrotherapy device using ESP32