Extreme weather events have become the norm of our day-to-day lives! We hear long running heat waves, flash floods, extreme droughts, fires, and failed monsoons. These extreme weather events have an unprecedented impact on psychological and quality of life on the population, especially the poor and underprivileged will bear most of the impact in terms of loss of economic opportunities and un-sustained livelihood. The result is increased undernourishment and food insecurity. The preparedness of future democratic governments and public distributed systems rest in harnessing prognostic markers from data using advanced analytics from past weather events. The well-prepared governments apply multi-modal interdisciplinary governmental data systems to perpetually analyze and infuse departments to be ready to tackle any potential disruptions to the lives of citizens, especially poor and marginalized parts of the societies that could fall into vicious cycle of poverty-health-and-loss of economic opportunities. The paper proposes innovative Machine Learning Models to address food security concerns to the extreme weather events.

The budget speech is part of the democratic process that is presented annually to members of the parliament and addressed to Speaker of the house. Budget speech includes details of annual financial statements or financial plans of the government, containing details of revenue and expenditure in the past, along with the estimated spending and projections for the following year. Speech, additionally, consists of new policies and / or reforms announced to address fiscal macroeconomic issues. It takes, importantly, years to witness effectiveness of policies, especially in agriculture and infrastructure sectors. In this research paper, we propose an innovative Machine Learning framework that scores effectiveness of agricultural policies through binning language processing statements with key macroeconomic performance multiclass-multilabel-indicators that are regressed from government finance statistics and macroeconomic time series data. Finally, the paper presents budget speech prototype solution as well as its application for analyzing 2021 Indian budget speech.