Python, computer vision and ML foundations
Where I started: OpenCV tools, a CNN sign-language recogniser and Flask APIs, built in college.
- level
- working
- years
- 3
- evidence
- work/whatsbulk
What I can do
- Train and ship small models: HandTalk recognises American Sign Language letters with a CNN and serves predictions through a Flask and Socket.IO web app.
- Do classic computer vision: Characterize redraws any picture as text characters using OpenCV.
- Automate the boring stuff: WhatsBulk sends text and media messages in bulk through WhatsApp Web with Selenium.
How I learned it
College projects and team research in 2019 and 2020, including notebooks on neural-network-based encryption. This is the base I lean on when I reason about how AI models behave today.