Developed an autonomous vision-guided fire detection and suppression system capable of locating, tracking, and extinguishing ignition points with high precision. The system integrates a Raspberry Pi running a YOLOv8-based fire-detection model, a Pi Camera for real-time vision input, and an ESP32-controlled two-axis servo turret that automatically aligns and activates a targeted water jet. Mechanical components were fully CAD-modeled in SolidWorks and fabricated using PETG 3D printing, supported by engineering drawings, tolerance planning, and a complete Bill of Materials. Future implementation can incorporate AI-based fire-class classification to distinguish electrical, grease, chemical, and other fire types, enabling the system to automatically select the appropriate extinguisher medium for safer and more effective suppression. The final prototype demonstrates a complete end-to-end mechatronics system with reliable detection, targeting, suppression, and sweep-mode environmental scanning.