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Reduce misroute using our AI enable address engineIn India, the average area covered by a pin-code can go up to 200 square kilometres, leading to large geographic coverage to track a location with precision
Generative Pre-trained Transformers (GPT) architecture excels in predicting the next token in sequences like addresses, PIN codes, or geocoordinates, offering a unique solution to topological and geological challenges through its specialized training and predictive capabilities.
The model is trained on a diverse set of geospatial data, enabling it to understand and interpret addresses within specific geographical contexts. This ensures accurate location identification even in areas with complex topologies
Its training includes topological features, making it adept at navigating through challenging terrains. This awareness minimizes errors associated with ambiguous or intricate landscapes, enhancing its reliability in such environments
The model's ability to incorporate real-time data facilitates adaptability to changes in geological conditions. This ensures that the system remains responsive to alterations in the landscape, minimizing disruptions caused by geological shifts
