This model is very useful to detecting cars, buses, and trucks in a video.

A Xamarin.Forms app for UWP, Android & iOS showcasing how to use Custom Vision Service with either online and offline models.

MLM Binary Tree

GPT2 running locally on the Apple Watch Ultra 2

Automatically check mismatch between code and comments using AI and ML

OtosakuStreamingASR-iOS is a real-time speech recognition engine for iOS, built with Swift and Core ML. It uses a fast and lightweight streaming Conformer model optimized for on-device inference. Designed for developers who need efficient audio transcription on mobile.

Developed a machine learning system to predict flight delays using historical flight and weather data from Kaggle. The pipeline includes data ingestion, storage, and analysis. Trained an XGBoost model to accurately predict delays based on source city, destination city, and date.

Onnx to coreML converter . CoreML 8.1 - mlpackage

Structured file path to start with Machine Learning algorithms with implementation by building model

Skin Cancer Detection

Repository for building a suitable prediction model for the Titanic Survival Dataset

This is an iOS app that identifies the flower from its photo and also gives detailed information about it.

This project highlights the use of KNN, SVM, Decision Tree and Random Forest Classifiers to predict heart disease in a set of patients. The project also evaluates the models using metrics like Accuracy, Classification Report (Precision, Recall, F1-Score) and Confusion Matrix.

This is the project that I created for DSN 2 at VIT , As its name suggests it will help you to check for any abnormalities with your heart by giving the "Heart Risk Assessment"

I trained a ton of style transfer .mlmodels and categorized them. This is effectivelly a "model zoo".

The study uses the IRSE/FIRE dataset and explores the impact of combining original C code data with Python-derived silver-standard

🥚 **Egg Quality Grading Project with OpenCV** 🥚 Revolutionizing egg sorting in the poultry industry using OpenCV and ML! 🚀 Our model classifies eggs like Brown, White, and more, enhancing automation in large farms. 🐔 It detects egg types, sorts them, and reduces errors, boosting efficiency. Embrace ML's growing role in industrial automation!

BetterRest is a SwiftUI application that helps users determine the optimal bedtime based on their desired wake-up time, amount of sleep needed, and daily coffee intake. The app leverages CoreML to make predictions about the best time to go to bed. Designed for 100DaysOfSwiftUI

A fully automated machine learning pipeline for supervised learning tasks, designed to model training and evaluation

This project is an end-to-end machine learning pipeline for predicting housing prices in California.