An ML model trained to evaluate singing performances using objective criteria like pitch accuracy and vocal stability — because human judgment is subjective.
An AI-powered photo playground where users can blend faces, imagine a future child, and transform themselves with playful character-inspired effects.
An AI-powered calorie-tracking Telegram bot — log a meal by snapping a photo or typing a description.
An AI storybook generator that turns a prompt into a fully illustrated, personalised story in minutes.
An interactive tarot experience that turns a question and three selected tarot cards into a playful, personalised AI-generated reading.
A checkers AI trained through reinforcement learning and self-play, combining a residual neural network with Monte Carlo Tree Search to choose its moves.
A Computer Vision tool that analyses a facial photo, predicts one of four seasonal colour types, and extracts the dominant colours from the user’s skin, eyes, and lips.
An XGBoost model that uses Formula 1 free-practice statistics to predict where a driver may qualify on the grid.
A computer vision model that detects distracted drivers and classifies their behaviour into one of ten distraction categories.
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