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Applied AI · Computer Vision
Real-Time Drug Detection
Applied Computer Vision for Public Safety · MinTIC National Hackathon
A real-time computer-vision application built for the Colombian Ministry of ICT (MinTIC) national hackathon, designed to detect drugs from live video to support public-safety operations. Competing against more than 100 teams and over 1,000 participants nationwide, our team was selected as a Top-16 national finalist and presented the solution to ministers and government stakeholders in Bogotá.
Impact
Top 16
National Finalist
100+
Teams Competing
1,000+
Participants Nationwide
Real-Time
Live Video Inference
My Contribution
- Built a real-time computer-vision pipeline performing object detection on live video streams.
- Designed the application end-to-end as part of a small team — from the detection model to a working user-facing demo.
- Presented the solution to ministers and government stakeholders at the Ministry of ICT (MinTIC) in Bogotá.
Technical Highlights
Real-time object detection on live videoDeep learning for computer visionEnd-to-end prototype under hackathon time constraintsTechnical communication to senior, non-technical stakeholders
“Took an applied-AI concept from idea to a working real-time demo and communicated its impact to senior government decision-makers — reaching the national finals among 100+ teams.”