Tens

Simulating Deictic Pointing Gestures across Distances Using Electro Muscle Stimulation

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

Assignments and final project for CMPT419/CMPT726

MK312 Communication Wrapper

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

Electrotherapy device using ESP32

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

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.

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.

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

An E-Stim driver for the RP2040 microcontroller.

This repository showcases text generation using an RNN trained on Shakespeare's writings. The project aims to predict the subsequent character in a sequence based on input characters. The model can generate extended sequences of text through iterative calling.

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

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.

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

A modular 4-channel E-Stim.

Clickbait Detection using Tensorflow Serving - Deployed via Docker