Challenge:

Modern mobiles are flooded with spam messages, phishing SMS, and fraudulent calls. Build a mobile solution that monitors incoming SMS and call metadata to detect potential fraud using rule-based + lightweight ML techniques.

Key Features to Implement:

• Parse and classify SMS/call logs.
• Detect phishing/scam patterns (keyword matching, sender anomalies).
• Provide user warnings and safe action suggestions.

Expected Outcome:

An Android proof-of-concept app that flags scam messages/calls with category labels (e.g., "Phishing", "Spam", "Unknown") and history logging.

Challenge:

Create a tool (possibly cross-platform CLI + Android UI) that scans installed apps on an Android device for common security issues like excessive permissions, outdated SDKs, or insecure hardcoded URLs.

Key Features to Implement:

• List installed apps with permission summary.
• Flag potential risky permissions (SMS, contacts, camera, location).
• Suggest secure alternatives or mitigation.

Expected Outcome:

A scanner that outputs a readable security assessment report for installed mobile apps.

Challenge:

Build a secure mobile chat prototype (can be Android or cross-platform) supporting:

• End-to-end encryption (E2EE),
• Optional self-destructing messages,
• Basic anonymity (no central server logging).

Key Features to Implement:

• E2EE using well-known libraries (e.g., libsodium / Signal9X protocols).
• Timer-based auto deletion of messages from both devices.
• Minimal UI for chatting.

Expected Outcome:

A working mobile chat app where messages are encrypted and can auto-expire securely after a timeout.

Challenge:

Build a mobile utility that:

• Tracks sensor permissions usage (microphone, camera, GPS) per app,
• Logs suspicious on-device activity,
• Alerts the user when an app uses a sensitive sensor in the background.

Key Features to Implement:

• Background service to monitor sensor accesses.
• Alerts/notifications when unexpected access happens.
• Permissions audit and recommendations.

Expected Outcome:

A privacy-monitoring app with dashboard summarizing sensor usage trends and alerts.