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A wellness app that keeps your voice on your phone. It combines voice emotion, heart rate, activity and optional text into one Vitality Score, and raw voice and text never leave the device. I trained the speech-emotion model, compressed it with TensorFlow Lite, and rewrote the Mel-spectrogram preprocessing in Dart so the whole pipeline runs offline.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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One photograph. Two ways to keep its colours.
Meet Afterimage — a colour-study app built in Flutter.
A — Light Table: calm and photo-first.
B — Pocket Collection: bold and playful.
Same features. Two different personalities.
Which would you choose — A or B?
Download the source code for both versions for free from my Contra products.
9 voted
90%
1 voted
10%
10 votes
Closed
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The client needed a 30-second cinematic AI talking-head video featuring one woman delivering the same line, "I'm fine," with six distinct emotions. I created the character visuals, generated and refined the performances, and handled lip sync, sound and editing. The focus was consistent identity and room details, realistic skin, subtle facial expressions, natural body movement and believable emotional transitions.
Same line six times is a tough brief, since the words can't carry any of it and everything sits on the face. With recurring characters, identity usually slips first on the strong expressions, not the calm ones. Did you lock her with one reference set across all six emotions, or adjust refs per emotion?