Developed an AI-powered DeepFake Detection model that identifies fake images with over 80% accuracy, leveraging MobileNetV2 and CNN architectures for enhanced precision in distinguishing real vs. fake images. Check it out here!
Enhancing my skills in cloud-based machine learning and Kubernetes.
I frequently have eureka moments in the middle of the night—turning late-night coding into my superpower! ⚡
- 🔬 SpotCheck: Early-stage skin cancer detection web app using TensorFlow with 98% accuracy. [GitHub]
- 🎵 Syncphonic: Context-aware music generation using AI and scene analysis, delivering a 90% qualitative match. [GitHub]
- 💧 Nepal Water Crisis Analysis: Developed a machine learning model using Python and TensorFlow, achieving 95% precision in water crisis prediction. [GitHub]