Intelligent Parent Eye (IPE) for Smartphones

Domain: AI/Software Engineering

Category: Research / Software Applications

1. Introduction

Smartphones have become essential devices across all age groups, from children to adults, offering seamless access to the internet, apps, and social platforms. However, this unrestricted access poses serious risks to children and teenagers, exposing them to inappropriate content, addictive gaming, and unsafe online interactions. This project proposes the development of a software framework that can monitor, detect, and restrict content exposure for children based on their age group. The framework will include an Android-based monitoring app for the child’s device, a parental control dashboard accessible via the web, and a backend server for data analysis and coordination.

2. Project Objectives

The main objectives of this project are:

        Age Detection – Estimate and verify the child’s age using user profile data, images, and behaviour cues.

        Parental Control System – Enable parents to remotely monitor and control their child’s smartphone usage.

        Content Restriction – Automatically block apps, games, and websites unsuitable for the child’s age group.

        Suspicious Behaviour Detection – Analyse texting and calling patterns to identify risky interactions.

        Activity Monitoring – Log activities, capture device snapshots, and send them to the parent dashboard.

        Real-Time Alerts – Notify parents about critical behaviour, suspicious messages, or inappropriate app use.

        Data Security – Ensure encrypted and secure storage and transmission of sensitive information.

3. Project Scope

The scope of the project includes:

        Development of an Android child monitoring app with features like app blocking, call/SMS monitoring, and screenshot capturing.

        A web-based parental dashboard for activity visualization, alerts, and control commands.

        A backend server for secure communication, data storage, and text behaviour analysis.

        Implementation of parent-child relationships to support multiple children under one parent account.

        Proof-of-concept integration of machine learning techniques for age detection and suspicious text analysis.

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4. Functional Requirements

The system must support the following:

        User & Relationship Management

        Parent registration and login.

        Linking multiple children to one parent account.

        Age Group Detection

        Estimate child’s age and assign restrictions accordingly.

        App & Content Control

        Block apps/websites unsuitable for the child.

        Prevent app uninstallation and data clearance.

        Restrict access to device storage.

        Suspicious Behaviour Monitoring

        Analyse messages and call logs for unsafe patterns.

        Flag critical behaviour for parental review.

        Activity Reporting

        Capture and upload snapshots to the server.

        Log app usage and browsing activities.

        Parental Dashboard

        Web interface for monitoring and controlling.

        Notifications for suspicious activities.

        Remote blocking/unblocking of apps.

         Non-Functional Requirements

        Security – End-to-end encryption for all data.

        Performance – Monitoring should not significantly affect device speed.

        Scalability – Support multiple children per parent account.

        Usability – Simple and intuitive parent dashboard.

        Reliability – Continuous monitoring with minimal downtime.

        Compliance – Ethical data handling using only publicly available APIs.

         Limitations

            Restricted to public Android APIs (some features may not be fully supported).

            Age detection accuracy may be limited in a prototype.

            Cannot guarantee 100% filtering of harmful content.

            Rooted/jailbroken devices may bypass protections.

            The project is limited to a proof-of-concept for academic purposes.

7. Required Skills

Students working on this project should know of:

            Android Development (Java/Kotlin)

            Web Development (Flask/Django/Node.js)

            Frontend (HTML, CSS, JavaScript, Bootstrap)

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