Submissions | VizChitra 2026
Klimate Kundli
Nithya
Description
Klimate Kundli is imagined as an interactive station that visualises a viewer's personal climate experience, tied to the cities they have grown up in or inhabited. It logs changes in weather patterns and national data based on the viewer's inputted data such as the city and year of birth. The process seeks to acknowledge the personal experience of living through climate change.
Visitors input their birth date, birthplace, and cities they've lived in (with durations) at an interactive station. The system queries historical climate archives and generates a personalised "Klimate Kundli", a beautifully designed card revealing the temperatures, rainfall, and extreme weather they've actually lived through.
Climate data isn't decoration: it IS the experience! What does it mean that "your childhood Kolkata now feels like today's Bangalore"? How do we feel warming not as abstract statistics, but as the summers we remember versus summers now?
Klimate Kundli sits at the intersection of climate crisis, urban migration, and generational change. It aims to transform climate data from graphs into something personal and felt.
Data Source
All sources will be publicly available, historical datasets on weather, national data on carbon emissions. A few sources we have considered: https://ourworldindata.org/profile/co2/india, Global Historical Climatology Network daily (GHCNd) (https://www.ncei.noaa.gov/products/land-based-station/global-historical-climatology-network-daily) ERA5 Climate Reanalysis (https://cds.climate.copernicus.eu/datasets) India Meteorological Department (https://imdpune.gov.in/)
Technical Requirements
A table, iPad, TV, a printer (receipt printer or a normal Inkjet)
Project Status & Timeline
This is a new work being developed for the exhibition. The installation is minimal and most of the effort is towards developing the digital interface + print mechanism. The hope is to have it as a
Previous Work
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Purrple
We are designers who love creative undertakings of all kinds. We love to tinker and craft experiences that use humour to start conversation and have recently started delving into data viz.