Key Projects
3D Hand Geometry Based Recognition System
Jul 2022 – Apr 2023- Collaborated within a four-member team to attain a 95% recognition accuracy rate in 3D hand geometry research.
- Reduced error rates by 30% through designing and implementing CNN models.
- Accelerated recognition speed by 25% and diminished processing time by 20%
- Successfully concluded Stage 2 of the project with a perfect 100% success rate
- Conducted regular progress reviews and instituted feedback loops to ensure continual improvement throughout the project lifecycle.
- Technologies Used: Python, Deep learning, Computer Vision, Image Processing, CNN, Anaconda