• Ayub kasim shaikh
• DanishAyub parve
• Aditi Prashant Chavan
• Preet Hemant Varma

Natural Resource Prediction of the main constituent of living organisms, is crucial for economic and agricultural development particularly in arid areas where surface water resource is extremely scarce. Analysis and assessment of resources to collecting information often involve meteorological and hydrological components such as precipitation, flow, temperature etc. We are filtering this set of for analysis on different natural resources and estimate its availability in future and forecast its scarcity using Machine Learning. A statistical study of these natural resources is new and can make a significant contribution to the theory and practice of the efficient use of natural resources. The project plays an important role in formation of new business technologies for enterprises operating in the natural resources sector. The identification of extraction trends for natural resources can positively affect the rational use of natural resources on the regional level.

Deep Learning, Machine Learning, Prediction, Forecasting

"Natural Resources Scarcity Forecasting ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 4, page no.h76-h80, April-2022, Available :http://www.jetir.org/papers/JETIR2204709.pdf

"Natural Resources Scarcity Forecasting ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 4, page no. pph76-h80, April-2022, Available at : http://www.jetir.org/papers/JETIR2204709.pdf