Geospatial Forecasting & Application Development

Project 1

Developed a GIS-based forecasting tool using QGIS and Python to enhance energy load prediction and infrastructure planning accuracy.

Project Overview

As a team lead, Sree Vishnu Priya developed a custom GIS application that integrated Random Forest modeling into QGIS using Python. The tool improved the precision of grid energy forecasting by 27% and enabled better decision-making for infrastructure planning.

Results

  • Improved forecast accuracy by 27% in test areas

  • Boosted infrastructure planning efficiency by 33%

  • Led a team through spatial survey design, data validation, and tool development

  • Demonstrated application scalability across multiple regions

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