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Developed and refined the frontend architecture for a production-grade AI workflow platform: web app, Zoom App, marketing sites. I owned design, frontend, and collaborated with backend and product to deliver the core capabilities of the platform.
I learned a lot about AI integrations, enterprise features and iterating fast but with quality.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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Two page transitions, one site. Which one feels better to you?
5 voted
83%
1 voted
17%
6 votes
Closed
Kinetic Reveal feels more natural ❤️❤️
great job Dayyan🎉🎉
CrowdVision AI – Real-Time Crowd Monitoring & Intelligence System
An AI-powered computer vision platform that detects and counts people in real time, monitors crowd density and occupancy, tracks entry and exit movements, and provides actionable crowd intelligence through a live monitoring dashboard.
Overview
CrowdVision AI is an intelligent crowd monitoring and safety analytics platform designed to help organisations monitor public spaces, understand crowd behaviour, and identify potentially unsafe crowd conditions.
The system uses computer vision and machine learning inference to analyse camera feeds and video streams, detect people, estimate occupancy, classify crowd density, and monitor movement across designated zones.
The Problem:
Monitoring crowded environments manually can be difficult, time-consuming, and inefficient. Security personnel may struggle to maintain accurate occupancy counts, monitor multiple zones, and identify unusual crowd conditions quickly.
CrowdVision AI was developed to explore how computer vision and real-time analytics could improve crowd visibility and monitoring.
My Solution:
I developed a computer vision system integrating a pretrained YOLO object-detection model with OpenCV for video processing.
The platform includes:
Real-time people detection and counting.
Crowd occupancy estimation.
Crowd-density classification.
Entry and exit line counting.
Zone-based monitoring.
Incident and anomaly monitoring workflows.
Camera health and tamper monitoring.
Evidence management and reporting.
Telegram alert notifications.
Remote edge camera processing.
Live monitoring dashboard.
Technical Implementation:
Machine Learning & Computer Vision
Python
YOLO / Ultralytics
OpenCV
NumPy
Pandas
Backend:
Python
FastAPI
REST API
Frontend:
React
Vite
JavaScript
Other Technologies
Git
GitHub
Telegram Bot API
JSON/CSV data storage
My Role
Founder & Full-Stack Machine Learning Developer
For entry/exit line counting, I'd test someone pausing on the boundary and stepping back without entering. Do you require a track to move fully between two zones before recording an entry, so small position changes don't become extra visits?
No After Effects. No manual keyframes.
Just pure React, frame-level spring math, and code.
Built this SaaS product reel completely with Remotion at 60fps. Programmatic motion design makes it effortless to keep animations 100% true to real product UI while allowing programmatic variant generation.
💯 What you receive as a deliverable:
🎬 Production Video: 4K/60fps .mp4 or .webm ready for social, ads, and landing pages
🪟 Transparent Overlays: Alpha-channel .mov (ProRes 4444) to drop over your existing product footage
🔁 Looping Assets: Optimized .gif files for GitHub readmes and email campaigns
💻 Web Native: Interactive React @remotion/player components or automated server-side render scripts
Stack:
• React
• Remotion (useCurrentFrame, spring, interpolate)
• Headless Chromium render pipeline
Taking on 2 new projects this month for SaaS and dev-tool teams looking for high-end product animations.
DMs are open—let’s build.
