YOLOv8, YOLOv9, YOLOv10, YOLOv11 in Mobile Devices, run different machine learning model inside Android and iOS.

AI-based traffic monitoring system for vehicle detection, tracking, speed estimation, and violation detection

A lightweight Android-based Advanced Driver Assistance System (ADAS) app.

Privacy-first home inventory app with on-device YOLOv8 detection. Built for ExecuTorch Hackathon @ GitHub HQ.

Android Gallery app with context-based searching capabilities

Penelitian untuk Tugas Akhir kuliah, Machine Learning + Kotlin

EatWise is an AI-driven Android application that enables users to automatically identify food items from images and view detailed nutritional information.

Aplicação que permite utilizar o modelo de deep learning yolov8n para detecção de objetos.

On-device PPE detection with CameraX + TFLite + YOLOv8n. Real-time safety gear recognition (helmets, vests) running entirely offline.

An innovative Android app designed to enhance public oversight of traffic law enforcement in Taiwan. Features seamless integration with existing Traffic-Violation-Report-System server for real-time updates and community engagement.

AI-powered driver monitoring and video telematics prototype built with Python, YOLOv8, DeepSORT, MediaPipe. The system analyzes webcam or offline video clips to detect risky driver behaviors such as phone use, distraction, drowsiness, yawning, and seatbelt absence, then tracks incidents over time, computes a cumulative driver safety score.

Winning Project For SIH'25 ISRO PS: 25174

🍴 Real-time object detection Android app using Kotlin, YOLOv8, and TensorFlow Lite to identify and count forks and spoons via camera feed.

Este projeto visa desenvolver uma solução de auxílio à mobilidade e interação com o ambiente, utilizando reconhecimento de objetos e audiodescrição de imagens para apoiar pessoas com deficiência visual.