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Build AI-Powered Web Apps and Chatbots
I build responsive web applications and AI-powered prototypes tailored to your business needs. Services include frontend development, API integration, database connectivity, and AI features using suitable tools. You will receive a clear project scope, regular updates, and a tested deliverable based on agreed requirements.
The network for creativity
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AI Automation SaaS Website Design
AUTONIX is a modern AI automation SaaS website concept designed to help businesses streamline workflows, automate repetitive tasks, and manage AI agents more efficiently.
The design combines a clean, minimal interface with bold typography, futuristic visuals, interactive UI elements, and a seamless user experience. From AI-powered task automation to real-time productivity insights, every section is designed to communicate the value of intelligent automation in a clear and engaging way.
This project explores how thoughtful UI/UX design can make complex AI technology feel intuitive, accessible, and easy to use for modern businesses.
Services: SaaS Website Design, UI/UX Design, Landing Page Design, AI Product Design.
Introducing Mindora — a Life Coaching & Wellness Framer Template.
I designed Mindora for life coaches, wellness professionals, and personal growth brands looking for a calm, modern, and welcoming online presence.
Inspired by clarity, confidence, and meaningful growth, Mindora features a thoughtful layout, dedicated service sections, a blog for sharing valuable insights, and a clean visual style designed to help brands connect with their audience.
Built with Framer, it's a customizable starting point for creating a professional coaching or wellness website.
Explore Mindora and bring your next website idea to life.
Kindly check it out the template: https://www.framer.com/marketplace/templates/mindora-life-coach/
Great work
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?