Build an image analyzer that will rate an image using results from Amazon Rekognition features and post high ranking image to social media.

Addressed the challenge of time-consuming kidney tumor diagnosis by developing a deep learning solution that automates tumor detection from CT scan images, improving diagnostic accuracy and clinical workflow efficiency.

This project tackles the challenge of automating white balance adjustments for professional photography workflows. By combining Convolutional Neural Networks (CNNs) for image analysis with metadata-based features, the model learns to predict the Temperature (2000-50000K) and Tint (-150 to +150) values

An AI wall of agents to question, challenge, fact check, analyse, summarise, with voice transcription, chat, image generation, for simulating, participating, or minuting meetings, 1-1 brainstorming, with ability to add custom agents and workflows to automate creativity and analysis and generate concise summaries and reports to drive progress.