CSR

Deep Learning based Predictive Modeling of Environmental Parameters

0%

Target: ₹20,70,000

Raised: ₹0

No. of Donors : 0

Completion Date: 30th March 2022

Deep_Learning_based_Predictive_Modeling_of_Environmental_Parameters.pdf

Objectives of the project: The objective of this project is to first collect and analyze the complex environmental data through various state-of-the-art time series techniques. Based on this outcome, machine learning (ML) methods are going to be utilized to capture the dynamic trends of a large number of environmental parameters including particulate matter and pollutants that cause long-term health hazards. While developing such ML based models, intelligent formulations would be placed so that models do not get over-fitted with the data used to make them more robust. To identify the most significant features, ML based sensitivity analysis will be performed to enable a decision maker to find the most crucial environmental parameters to control.

Timeline and Budget:
Year 1: 6.9 Lakhs
Year 2: 6.9 Lakhs
Year 3: 6.9 Lakhs

Proposer Name & Designation:
Dr. Kishalay Mitra, Professor & Head, Department of Chemical Engineering