FYP

28/02/2026

Hey everyone! 🚀 I just found this super addictive puzzle game called Cyber Arcade Duel – it's a match-3 with cool cyberpunk style, epic boss fights every few levels, power-ups like rockets & lightning, and tons of worlds to blast through!
I've been hooked playing Story mode and Daily Challenges... who's up for joining me? Download it free on Android and let's compare scores!
👉 https://play.google.com/store/apps/details?id=com.cyberarcade.duel
Tag a friend who loves puzzles or neon aesthetics! 🌃💥 "

29/11/2025

🚀 My Full YOLO Object Detection Project in C # is Now on GitHub!
I’ve officially uploaded the complete project code used in my Real-Time Object Detection with YOLO in C # YouTube series.

If you're learning AI, Computer Vision, or C # development, this repository will help you understand:
✅ Loading YOLO models
✅ Real-time webcam/video processing
✅ Drawing bounding boxes
✅ Non-Maximum Suppression (NMS)
✅ Tiny YOLO for ultra-fast detection
✅ Full working C # source code

📌 GitHub Repository:
👉 https://github.com/mariakhala/YOLOImageRecognition

📺 Full YouTube Course Playlist:
👉 https://www.youtube.com/playlist?list=PLmT9-i_ZS26CMl7Sb6GaM-J9BWCZUzRhc

If you need any custom AI or Computer Vision project (YOLO, tracking, detection, OCR, face recognition, etc.), feel free to message me — I build professional solutions.

Learn YOLO (You Only Look Once) object detection in C # from scratch! This full course covers everything from setup to real-time video detection, bounding box...

06/09/2025

Learn how to process video frames for YOLO object detection in C #, making your real-time AI app both faster and smarter!

▶ Watch here: https://youtu.be/nJ6KL24dCuE

📌 Don’t forget to follow the full series!

💼 Want to build an AI or Computer Vision project?
📩 Contact us today for tailored solutions!

Welcome to Part 5 of the YOLO Object Detection in C # course! 🚀In this lecture, we’ll cover processing video frames for real-time YOLO object detection. You’...

30/08/2025

🎥 New Video Alert – Part 4 is here!

Learn how to add Start & Stop buttons to your YOLO object detection app in C #. Make your app interactive and ready for real-world use!

▶ Watch now: https://youtu.be/aNITWjd89AE

📌 Don’t miss the full course playlist!

💼 Need a custom AI project or computer vision development?
📩 Contact us for tailored solutions!

Welcome to Part 4 of the YOLO Object Detection in C # course! 🚀In this lecture, we’ll implement Start and Stop buttons to control your real-time video captur...

20/08/2025

🚀 Part 3 of My YOLO in C # Free Course is Now Live! 🚀

In this video, we cover how to load the YOLO model into your C # project so you can start detecting objects in real time.

✅ Import YOLO config & weights
✅ Integrate into your C # app
✅ Prepare for real-time AI detection

📺 Watch here: https://youtu.be/T8Dj7IIJ6pM

👉 Subscribe for the full course playlist!

💡 Looking to develop a custom AI or Computer Vision project?
📩 Contact us for professional development and collaboration opportunities.

Welcome to Part 3 of the YOLO in C # Object Detection Course! 🚀In this video, you’ll learn how to load the YOLO model into C # for real-time object detection....

17/08/2025

⚡️ Part 2 of My YOLO in C # Course is Live! ⚡️

In this lecture, we dive into setting up the development environment for running YOLO (You Only Look Once) in C #.
You’ll learn how to:
✅ Install the right tools & libraries
✅ Configure Visual Studio for computer vision projects
✅ Prepare YOLO model files (cfg, weights, classes)
✅ Get your system ready for real-time object detection

This is a step-by-step guide designed for developers, AI enthusiasts, and anyone curious about computer vision in C #.

📺 Watch Part 2 here:
👉 https://youtu.be/KqANEf1bcfc

🔔 Subscribe on YouTube and follow the full playlist to master object detection with YOLO in C #!

Welcome to Part 2 of the YOLO Object Detection in C # course! 🚀In this video, we’ll set up the development environment needed to run YOLO (You Only Look Once...

15/07/2025

Crypto Portfolio Tracker
Track Bitcoin, Ethereum, and more with this C # WinForms app! Learn to use CoinGecko’s free API for real-time prices, charts, profit/loss, and price alerts. Perfect for beginners! 💸

🔗 Full tutorial link https://www.youtube.com/watch?v=S0aEFgx51og&t=581s
🔔 Subscribe for more crypto coding!

17/04/2025

Day 92 of 100 days coding challenge
🚀 Just Built an AI Chatbot in C # WinForms! 💬

Hey coders! I created a sleek desktop chatbot that talks back using a free AI API! 🤖 It’s got a modern UI, theme switching, and even survived an “API connection” scare (yep, I debugged it! 🛠️). Check out the full tutorial on my YouTube channel to build your own in 15 minutes! 🎥

🔥 Why you’ll love it:

Real-time AI responses
Dark/light mode toggle
Beginner-friendly code
👉 Watch now: [Insert YouTube Link]
💬 Comment what you’d ask the AI! Want emojis or voice input next? Let me know! ⬇️

02/03/2025

Title: For Sale: African Goods Website + PHP Source Code & MySQL Database

Description:

Ready to own an e-commerce gem? I’m selling my African goods website, built with PHP and a MySQL database, including full source code. Perfect for showcasing and selling African products—art, fashion, crafts, and more!

✅ PHP-powered with MySQL backend

✅ Fully functional and customizable

✅ Great for developers, entrepreneurs, or resellers

Check out the video walkthrough (uploading soon) to see the site in action and dive into the code. Serious buyers, comment below or DM me for pricing, features, and next steps. Don’t sleep on this—your online business starts here!

12/02/2025

Exciting News! Our AI-powered heart rate monitoring research using smartphone cameras has been officially approved on Experiment https://experiment.com/projects/ai-driven-heart-rate-monitoring-using-smartphone-selfies
This innovative technology could make heart health monitoring more accessible to millions worldwide—no wearables, no extra hardware, just your smartphone. We need your support to bring this project to life!
Currently, I've already developed a desktop version of the heart rate monitor using OpenCV and selfies. Now, the next step is to build a machine-learning model and develop a mobile app for real-time heart rate tracking.
If you’re passionate about AI, digital health, or making healthcare more accessible, consider backing us or sharing our campaign. Every contribution brings us closer to revolutionizing personal health monitoring!
Call to Action: If you have a 30-second mobile video of your face and your measured heartbeat, your contribution would be invaluable for training the ML model and improving accuracy. Your participation will directly impact the development of the app!
Check it out and support us here:
https://experiment.com/projects/ai-driven-heart-rate-monitoring-using-smartphone-selfies

Can we use AI and a smartphone to accurately monitor heart rate in real time? We believe machine learning can detect physiological signals from facial features by analyzing subtle color changes linked to blood flow. To test this, we will develop and validate a system against clinical-grade heart...