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thisishardik/automated-driver-drowsiness-control

Stars
4
Rank 3,304,323 (Top 66 %)
Language
Java
License
MIT License
Created about 3 years ago
Updated almost 3 years ago

thisishardik/automated-driver-drowsiness-control

thisishardik

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Automated Driver Drowsiness Control Technology Using Artificial Intelligence-based Decision Support System using Google Vision API.

electrical_substation_detection

Machine Learning based feature extraction of electrical substations from satellite data. Powered by IEEE-ICETCI, RRSC-Central, NRSC, and ISRO, this project incorporates instance segmentation of substations using UNet, Albumentations for image augmentation, and OpenCV for computer vision tasks.

curae

AI-powered telemedicine app that reduces the hassle of offline appointments by bridging the gap between the doctor and patient by transforming the entire appointment lifecycle online.

AI-advertisement-platform-dl

This is an AI-powered advertisement platform that performs Face Detection using Haar Cascade Frontal Face and Wide ResNet to detect your age and gender via an external camera and then show you video advertisements related to the products that suit your corresponding age and gender in real-time.

Nutrical

A health management app which keeps tracks of your daily diet where a user can add meals which he consumes daily in accordance to the calories that he wishes to burn. Nutrical comes with a workout manager where a user can burn the excess fat and keep track of his health. It also comes with all the features of an activity tracker.

twitter-hate-tweets-detection

This application can detect the hate and toxic tweets of users amongst an entire corpora of tweets and thus can be an effective methodology towards reducing cyber bullying.

Jupyter Notebook

product-detection-in-retail

Shelf Auditing in Retail Businesses using Object Detection

Food-On

Food On is an end-to-end food ordering application with real-time inventory management serving three different dashboards, one for the user, one for the chef, and another for the delivery executive. Deployed using Firebase, this app also comes with in-built cloud functions for an effective user experience.

odin-ai-flutter

ODIN-AI or Object detection and identification ai is a flutter based mobile application that can detect up-to 9 objects in the camera and assign them with their predicted labels. The deep learning technique used is transfer learning using OpenCV and the SSD MobileNet model.

skin-tumor-detection

Computer aided Skin Tumor Detection for analysis and prediction of malignant skin lesions of the human body. The modelling is performed on the HAM10000 dataset and the dermatoscopic images of common pigmented skin lesions contained in the ISIC-SIIM archive.

Jupyter Notebook