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Ai powered web app to detect Metastatic Cancer and Invasive Ductal Carcinoma in histopathology tissue images.

Breast-Cancer-Analyzer

Ai powered web app to detect weeds by analyzing crop and weed seedlings.

Weed-Detector

Ai Powered Web App to Detect TB on Chest X-Rays - Tensorflow.js

Tuberculosis-TB-Analyzer

Ai powered web app that automatically detects and segments intracranial hemorrhages on brain CT images - Tensorflow.js

Intracranial-Hemorrhage-Analyzer

Ai powered web app that uses computer vision to detect three types of rice leaf diseases - Tensorflow.js

Rice-Leaf-Disease-Analyzer

A flask web app that demonstrates a method to use the Bert language model as an Ai microservice.

Bert-Toxic-Text-Detector

A desktop breast cancer detection app. This is a free desktop computer aided diagnosis (CAD) tool that uses computer vision to detect and localize masses on full field digital mammograms.

Mammogram-Mass-Analyzer

This project shows how to use serial communication to send data between machine learning python code (running on a laptop) and an Arduino. Getting a machine learning python script to talk to an Arduino opens up a world of possibilities to experiment with homemade Ai powered devices and robotics products.

Arduino-Computer-Vision-Finger-Counter

Ai powered web app to automatically analyze the health of apple tree leaves.

Apple-Leaf-Health-Analyzer

Ai Powered Web App to determine bee hive health by analyzing a bee image - Tensorflow.js

Bee-Hive-Health-Analyzer

Ai powered web app to detect diabetic retinopathy on a fundus (eye) image. Diabetic retinopathy causes blindness. This app can help doctors prevent it.

Diabetic-Retinopathy-Analyzer

Ai powered flask web app that uses computer vision to automatically count wheat heads on wheat photos.

Automated-Wheat-Counter

A mobile optimized Ai powered web app to detect bacterial and viral pneumonia on chest x-rays of children aged 1 to 5 - Tensorflow.js

Child-Pneumonia-Diagnoser

Experiments with the OpenCV OAK D Lite Ai camera on Mac and Raspberry Pi.

OAK-D-Lite-Experiments

A list of publicly available Tuberculosis (TB) and Pneumonia chest x-ray datasets.

List-of-TB-and-Pneumonia-Datasets

Diabetic-Retinopathy-Practice-Diagnosis

A simple web interface for nurses to practice diagnosing diabetic retinopathy on a dataset of 3,662 fundus images.

Ai powered web app that takes as input the half-length portrait of a person and outputs a segmented image showing the human separated from the background - Tensorflow.js

Selfie-Segmenter

This flask web app uses a fine tuned Yolov5 model to detect and localize COVID-19 on chest x-rays.

COVID-19-CXR-Analyzer

Ai powered web app that transforms a portrait photo of a person into a painting - Tensorflow.js

Art-by-Ai-Selfie-Painter

A method to detect sea turtle faces using a segmentation approach combined with connected components.

Zindi-LOC-Sea-Turtle-Face-Detector

Sound2Vibe is a prototype electronic open source music and gaming aid for the deaf. It converts sound into vibrations that are transmitted through the body via bone conduction.

Sound2Vibe-Deaf-Music-and-Gaming-Aid

Zindi-Swahili-News-Classification

A rough Pytorch solution for the Zindi Swahili News Classification Competition

A simple web interface to practice TB diagnosis on a dataset of 800 chest x-ray images.

Tuberculosis-TB-Practice-Diagnosis

A flask desktop app that uses computer vision to automatically detect and count wheat heads on wheat field images.

Wheat-Head-Auto-Counter

This repo contains the experiments I'm conducting while building a self balancing robot called Sukuma SBR. Sukuma means "stand up" in Zulu.

Sukuma-SBR-Self-Balancing-Robot-Experiments

C++

Simplistic-Epileptic-Seizure-Detector-with-Alarm

This project shows how to use computer vision to monitor a person who is at risk of having an epileptic seizure. When a seizure is detected a signal is sent to an Arduino to trigger an audible alarm.

The Raspberry Pi is the tech equivalent of Harry Potter's magic wand. With knowledge and a little imagination, you can use it to work wonders. This is a list of resources to help you get started.

Raspberry-Pi-Resources-for-Beginners

A multi model recommender system that matches children's career and life skills questions to people who can answer them. This was my solution for the Kaggle Career Village competition.

Ikigai-Recommender-System