Build a mobile-compatible, root-enabled background assist system for Android that delivers Aimlock, No Recoil, Auto Headshot, and High Sensitivity Boost for shooting games like Free Fire, controlled entirely from a Hugging Face-hosted web panel, without modifying game files directly. The system must combine four enhancement methods: 1. Device-Level Sensitivity & Touch Tweaks Change system-wide touch parameters (DPI scaling, pointer speed, touch smoothing) to boost in-game sensitivity. Apply micro Y-axis counter-movements during gunfire to remove recoil. 2. Accessibility Service Gesture Injection Intercept and modify touch inputs before they reach the game. Automatically drag crosshair toward detected enemy hitboxes (aimlock). Trigger upward flicks when firing to increase headshot probability (auto headshot). 3. Network / Latency Prediction Logic Predict enemy movement based on ping and adjust aim slightly ahead of their path for smoother tracking. 4. Browser & Sensor Hook Integration Capture gyroscope and accelerometer data to refine flick shots and movement correction. Allow live sensitivity changes via Hugging Face panel, instantly applying to the background service. Root-Level Enhancement When root is available, hook into /dev/input/event* for direct touch injection at the kernel level. Implement a TensorFlow Lite model for enemy pixel detection in real-time from screen captures, focusing on the central aiming region for performance. Web Panel Requirements Hosted on Hugging Face with real-time WebSocket connection to the Android service. Controls: Aimlock %, No Recoil %, Auto Headshot %, Sensitivity Boost %, Prediction %, Gyro Boost %. Deliverables: Android service (Java/Kotlin) for root and non-root modes. Python backend (Termux/root shell compatible) to bridge Hugging Face commands to Android service. ML model integration for headshot targeting. Web panel with responsive sliders/toggles to adjust all features. Installation & usage documentation. - Initial Deployment
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