I'm a 17-year-old from Lahore, Pakistan, completing ICS while building MoodCutter — an AI-powered emotional intelligence engine for video that automatically detects and clips emotionally resonant moments using multimodal signal detection: speech sentiment, laughter, voice intensity, and facial emotion.
My approach prioritizes mathematical foundations and systems-level understanding over surface-level tooling — the kind of depth that scales. Currently progressing: ICS → BSCS, with deliberate emphasis on core CS fundamentals before specialization.
"Other tools clip what you said. MoodCutter clips what you felt."
An AI virality engine for content creators. Instead of transcript-based clipping like every competitor, MoodCutter reads the full emotional signature of a video — laughter in the audio, energy spikes in the voice, expressions on the face — and predicts why a moment will go viral.
- Status: POC complete (archived) · Full product in private development
- Stack: Python · WhisperX · PyTorch · HuggingFace · librosa · OpenCV
- Repo: github.com/axtheon/MoodCutter
Acoustic guitar · Film photography · Painting · Chess



