In the construction and painting industry, wall painting remains a highly manual and inefficient process. Painters still rely on traditional tools like tape measures and manual calculations to estimate surface area. This approach is time-consuming, error-prone, and often inaccurate, particularly with irregular walls, corners, arches, or large structures., Such inaccuracies frequently lead to paint wastage, incorrect material purchasing, unexpected cost overruns, and delays in project completion. Painters sometimes apply extra coats to compensate for miscalculations, further increasing both material and labor expenses. Manual measurement also poses safety risks when working at heights or in confined spaces., Currently, there is a lack of affordable and practical technological solutions for small contractors, individual painters, and homeowners in India. While expensive industrial painting robots exist, they are not feasible for everyday residential or small commercial painting jobs. Most digital tools available require manual input of dimensions and offer very limited automation or real-time accuracy., This project addresses these challenges by developing an intelligent, low-cost ESP32-based autonomous painting assistance system. The system integrates real-time surface scanning using sensors, automatic digital mapping with precise perimeter and area calculations, remote robot movement control, and accurate paint quantity estimation including multiple coats and wastage factors., Through a modern neon cyberpunk web interface, the solution eliminates guesswork, reduces material wastage, lowers overall painting costs, improves efficiency, and brings professional-grade accuracy to common painting tasks.