Developed an AI-powered georeferencing system to map UAV images to satellite imagery, enabling precise geo-coordinate retrieval without using GPS. Integrated local feature extraction techniques with homography estimation for accurate spatial alignment. 1. Local Feature Extraction: Implemented SIFT & SURF for robust keypoint detection and feature matching. 2. Homography Estimation: Utilized RANSAC to filter outliers and compute accurate image transformations. 3. Real-time Georeferencing: Mapped UAV image pixels to satellite coordinates using pixel projection and interpolation. 4. Scalable & Efficient: Optimized feature matching for large-scale aerial datasets, improving spatial accuracy and computational performance.