
AI-powered tool to detect screen addiction in kids (8–18) using K-Means, DBSCAN & Isolation Forest for real-time risk analysis and personalized recommendations.
Python | Flask | Scikit-learn | Pandas | NumPy | Plotly | Plotly.js | Chart.js | Bootstrap 5 | HTML5 | CSS3 | JavaScript ES6+ | Font Awesome | K-Means Clustering | DBSCAN | Isolation Forest | StandardScaler | LabelEncoder
In today’s hyper-connected world, children aged 8–18 are spending more time than ever on digital devices. Screen Guardian is a cutting-edge web application powered by artificial intelligence that proactively identifies early signs of screen addiction using advanced machine learning algorithms.
Utilizing K-Means Clustering, DBSCAN, and Isolation Forest, Screen Guardian analyzes behavioral patterns to detect anomalies and classify risk levels with high accuracy. Each prediction includes a confidence score and real-time insights.
Built with Plotly.js and Chart.js, the dashboard delivers stunning visualizations of usage trends, risk distribution, and health impact metrics. Fully responsive design ensures seamless access across mobile and desktop devices.
Based on the risk level, the system generates tailored intervention strategies — from screen time reduction tips to mental health guidance and professional consultation alerts.
Engineered with robust input validation, error handling, and API security practices. Easily integrable with parental control systems or school monitoring platforms.
This project is not just a prototype — it's a fully functional, scalable solution built with industry-standard tools and best practices. Whether you're a developer, educator, or entrepreneur, Screen Guardian offers immense value for research, product development, or commercialization.
Perfect for those looking to build AI-powered health tech applications, understand ML model deployment, or create impactful EdTech solutions.
Add any of these professional upgrades to save time and impress your evaluators.
We'll install and configure the project on your PC via remote session (Google Meet, Zoom, or AnyDesk).
1-hour live session to explain logic, flow, database design, and key features.
Want to know exactly how the setup works? Review our detailed step-by-step process before scheduling your session.
Fully customized to match your college format, guidelines, and submission standards.
Need feature changes, UI updates, or new features added?
Charges vary based on complexity.
We'll review your request and provide a clear quote before starting work.