You will get AI Screen Monitor & Smart Distraction Detection with Real-Time Alerts
Project details
AI-powered study companion that silently monitors your screen, auto-summarizes content, flags distractions, and tracks focus scores in real-time. Smart YouTube detection counts relevant videos as productive time.
What Sets It Apart:
Vision AI Precision: Groq-powered screen analysis (mss + pygetwindow) without manual input
Local Privacy Fortress: Dockerized FastAPI/PostgreSQL stack – zero data leaves your machine
Smart Workflow: Client captures → Backend AI → WebSocket dashboard updates
Battle-Tested Architecture: Separates screen access from Docker containers for scalability
Transform technology from distraction to guardian.
What Sets It Apart:
Vision AI Precision: Groq-powered screen analysis (mss + pygetwindow) without manual input
Local Privacy Fortress: Dockerized FastAPI/PostgreSQL stack – zero data leaves your machine
Smart Workflow: Client captures → Backend AI → WebSocket dashboard updates
Battle-Tested Architecture: Separates screen access from Docker containers for scalability
Transform technology from distraction to guardian.
AI Algorithms
Large Language Model, Multimodal Large Language ModelAI Applications
AI Chatbot, AIOps, Conversational AI, Image Processing, Natural Language Generation, Object Detection, Text RecognitionAI Development Language
PythonAI Models
ChatGPT, GPT-3, GPT-4What's included
| Service Tiers |
Starter
$100
|
Standard
$200
|
Advanced
$350
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 21 days |
Number of Revisions | 1 | 2 | 0 |
AI Model Integration | |||
Batch Normalization | - | - | |
Database Integration | |||
Detailed Code Comments | - | ||
Image Upscaling | - | - | |
MLOps | - | - | |
Model Deployment | - | ||
Model Documentation | - | - | |
Model Monitoring | - | - | |
Model Testing & Optimization | - | ||
Model Tuning | - | - | |
Natural Language Processing | - | ||
NLP Tokenization | - | - | |
Pre-Training | - | - | |
Prompt Engineering | |||
Setup File | |||
Source Code | - | - |
About Ahmed Ihab
AI Engineer
Gaza, Palestinian Territories - 9:54 pm local time
I have worked on many projects related to data analysis and machine learning algorithms
Steps for completing your project
After purchasing the project, send requirements so Ahmed Ihab can start the project.
Delivery time starts when Ahmed Ihab receives requirements from you.
Ahmed Ihab works on your project following the steps below.
Revisions may occur after the delivery date.
Architecture Review & Planning
Analyze Docker setup, client/capture.py flow, and tech stack to map development roadmap
Core AI Implementation
Build Groq vision analysis for screen summaries, YouTube detection, and distraction flagging with cooldown logic.