My Work
Projects
Selected machine learning and AI projects
Bachelor's Thesis - AI-powered artwork authentication system using deep learning to detect art forgeries and verify authenticity.
Key Highlights
- ▹Developed deep learning models for art style analysis
- ▹Achieved 94% accuracy in forgery detection
- ▹Implemented transfer learning with ResNet architecture
- ▹Created comprehensive dataset of artistic styles
Technologies
Outcome
Computer vision system trained and evaluated on a custom artwork dataset.
Master's Thesis - Advanced deepfake detection pipeline for both audio and video content, using custom-trained models by the research team.
Key Highlights
- ▹Achieved 98% accuracy in audio deepfake detection
- ▹Achieved 89% accuracy in video deepfake detection
- ▹Custom models trained by the research team
- ▹Dual-pipeline approach for comprehensive media verification
Technologies
Outcome
End-to-end deepfake detection pipeline with experiment tracking and model evaluation.
Deepfake Generation Platform
End-to-end platform for generating high-quality synthetic media using cutting-edge AI technologies for ethical research purposes.
Key Highlights
- ▹Integration with Spanish F5 for voice synthesis
- ▹FaceFusion for realistic face swapping
- ▹Sora2 integration for video generation
- ▹HeyGen for AI avatar creation
- ▹Built for ethical research and detection model training
Technologies
Outcome
Synthetic media generation platform for research and detection model training.
AI-powered fitness application using computer vision for exercise form correction and personalized workout recommendations. Available on web and iOS.
Key Highlights
- ▹Real-time pose estimation and form analysis
- ▹ML-based personalized workout generation
- ▹Cross-platform: Web application and iOS native app
- ▹iOS app: github.com/AlexReinosoPerez/iOSminiAppFitness
Technologies
Outcome
Functional AI-driven fitness application with real-time pose analysis.