You will get Real-Time Theft & Security Detection System (YOLO + Live Alerts)
Project details
I build real-time security detection systems using YOLO-based computer vision — trained to flag suspicious behavior (theft, unauthorized access, loitering) directly from your existing camera feed, with instant alerts sent to you the moment something happens. No new hardware needed in most cases.
Machine Learning Tools
GitHub Copilot, Keras, OpenCV, PyTorch, TensorFlow, XGBoostWhat's included
| Service Tiers |
Starter
$60
|
Standard
$100
|
Advanced
$150
|
|---|---|---|---|
| Delivery Time | 4 days | 6 days | 8 days |
Number of Revisions | 1 | 2 | 4 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 1 | 2 | 3 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | ||
Source Code | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$20 - $50
Additional camera feed
(+ 2 Days)
+$30
Custom object class training (e.g., specific uniform, bag type)
(+ 1 Day)
+$30
Edge deployment (Raspberry Pi / Jetson)
(+ 2 Days)
+$40About Marwa
Machine Learning & Deep Learning Engineer | Computer Vision & NLP
Cairo, Egypt - 2:47 am local time
My work includes:
• A multi-modal breast cancer diagnosis system combining clinical data (XGBoost, 97.4% accuracy) with ultrasound image analysis (EfficientNet-B0, 95.3% accuracy)
• A plant disease detection system with Grad-CAM explainability
• A real-time face recognition attendance system
• Arabic NLP tools for emotion detection and fake news detection
• Sales forecasting dashboards comparing Prophet, LSTM, and ARIMA models
I deploy every project using Streamlit, FastAPI, Vercel, and AWS, so you receive a real working product, not just code.
Certified by Harvard University (Machine Learning & AI), AWS, and IBM (Deep Learning).
Let's turn your data into a real, working AI product. Message me to discuss your project — I'm happy to answer questions before you hire.
Full portfolio: ml-portfolio-frontend-neon.vercel.app
Steps for completing your project
After purchasing the project, send requirements so Marwa can start the project.
Delivery time starts when Marwa receives requirements from you.
Marwa works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery
1. Review your sample footage and confirm detection scope
Training Step
2. Prepare and annotate training data for your specific use case