Brain Computer Interface Imagination based Thought Analyser Framwork to Generate and Classify Real Time Image Retrieval System for Space Images in Chandrayaan 3 Lunar Misson

We provide a ground-breaking architecture for the Chandrayaan 3 Lunar Mission that seamlessly combines Brain-Computer Interface (BCI) technology with sophisticated real-time picture retrieval and classification algorithms, encouraging a paradigm change in lunar exploration. By giving mission personnel the ability to express their picture search criteria verbally rather than through manual search queries, this ground-breaking framework makes the most of the creative capacity of the human mind. This technology converts cognitive intent into executable commands by combining BCI with state-of-the-art machine learning methods, speeding up picture retrieval and reducing operator cognitive load. In parallel, a cutting-edge picture retrieval and classification system powered by computer vision and machine learning sorts through the massive collection of lunar images gathered by Chandrayaan 3 in order to find specific objects. This technique effectively classifies photos according to geological qualities, mineral composition, and topographical features, ensuring the quick identification of scientifically important data. Our system streamlines operations, decreases human error, and improves data quality by automating these procedures. As a result, lunar research is elevated to new levels, allowing for ground-breaking discoveries and a deeper knowledge of the Moon's mysterious geography and past.