Showcasing my best work
A virtual skincare assistant that analyzes users' skin conditions daily and provides personalized improvement suggestions. The app uses machine learning to assess skin health based on selfie uploads, tracks progress over time, and offers AI-driven recommendations for skincare products, dietary choices, and skincare tips tailored to individual needs.
An AI-driven fitness trainer mobile application designed to detect and correct users' exercise posture in real-time. Gymnai uses computer vision to analyze movement, provides voice guidance during exercises, and generates detailed session reports to help users improve their form and maximize workout effectiveness.
A real-time object detection and image classification mobile application designed to identify vehicles with advertisements. Citilytics uses TensorFlow Lite for efficient object detection, stores images locally, and integrates with Google Drive for seamless uploads. The app offers advanced customization with adjustable confidence thresholds and support for user-provided TensorFlow Lite models.
A specialized mobile application designed to test TensorFlow Lite machine learning models for image classification and object detection. AizoTF features a user-friendly interface for uploading and validating TFLite model files and label files, is optimized for SSD MobileNet models with real-time inference, and designed with extendability to support additional model architectures.
A feature-rich movie recommendation application built using the IMDB API. Pixup allows users to discover trending movies, add favorites to their personal collection, view movie rankings, read reviews, and get personalized recommendations based on their viewing preferences.