AI Powered Media Solutions

A mobile app capable of capturing scenes, transforming images into miniature panorama effects with lilliputian aesthetics, and enabling instant social media sharing via integrated connectivity.

A cloud-based web platform supporting user roles for photographers and clients, with features for uploading, managing, and searching large media datasets using AI-powered facial and emotion recognition technologies.

Design and develop an integrated digital platform with features for real-time election results, predictive analytics, multimedia content, and multilingual support, underpinned by a robust content management system.

Develop a multi-browser extension featuring smart keyword crawling, interactive prompts, and organized bookmark management tailored for user-specific web content curation.

A comprehensive system enabling personalized book recommendations using machine learning, multi-modal search capabilities, user bookshelf management, and social interaction features.

Design and develop a machine learning-powered music recommendation system that analyzes user data, generates personalized playlists, and provides interactive user features.

Development of a modular iOS application supporting advanced features such as personalized audio wellness experiences, integrations with health and accessibility APIs, and robust QA/test automation frameworks.

A comprehensive real-time computer vision system that integrates face detection, hand gesture recognition, and facial keypoint estimation to analyze live video streams with high speed and accuracy.

Design and develop an AI-powered NLP toolkit that offers text summarization, sentence similarity analysis, named entity recognition, grammar correction, and comment classification, accessible via user-friendly interfaces and APIs.

Design and develop an AI-powered system capable of analyzing large facial datasets to generate realistic, studio-quality headshots with customizable backgrounds, expressions, and environmental context, while maintaining authenticity and high visual fidelity.

A robust, real-time face recognition solution that manages actor image data, performs high-accuracy face matching, and integrates seamlessly into the existing casting workflow.

Design a system that utilizes supervised machine learning methods, leveraging GPU acceleration, to detect, extract, and synchronize chords and notes from audio and video inputs, ensuring high accuracy and speed.