✔ Contextual Wi-Fi Risk Assessment
The application evaluates observable Wi-Fi characteristics—such as encryption type, authentication model, and network context—to present users with a clear and understandable risk level after connecting to a wireless network.

✔ Explainable Security Insights
Rather than performing intrusive scans, SmartGuardian translates wireless security indicators into plain-language explanations, helping users understand why a network may be considered low, medium, or high risk.

✔ Heuristic-Based Risk Logic
The app applies heuristic security logic to identify common Wi-Fi risk patterns, including open or weakly protected networks, unsecured authentication methods, and configurations frequently associated with public or event-based access points.

✔ Location-Aware Security Context
SmartGuardian adjusts the relevance of its security guidance based on contextual factors such as public venues, large events, or shared environments, increasing user awareness in scenarios where wireless threats are statistically more prevalent.

✔ Actionable Security Recommendations
Users receive practical, non-intrusive security recommendations—such as enabling VPN usage, avoiding sensitive transactions, or disabling auto-connect features—designed to reduce exposure to wireless threats without interfering with normal device operation.

✔ Security Awareness for Large Public Events (Event Mode)
The application includes an Event Mode concept focused on high-density environments, such as international sports events and large gatherings, where users are more likely to encounter insecure Wi-Fi networks.

✔ Privacy-Preserving Design
SmartGuardian does not collect sensitive personal data, inspect network traffic, or perform deep packet analysis. All assessments are designed to respect user privacy while promoting informed security decisions.

✔ Future Security Awareness Enhancements
In later development phases, the project may explore optional integrations with external cybersecurity awareness resources and advanced risk-scoring models, subject to technical validation and compliance considerations.