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In the last decade, applications associated with artificial neural network (ANN) has been gaining popularity in both the academic research and practitionerpsilas sectors. But unfortunately in underdeveloped countries this versatile tool has not yet been used. Here we consider some momentous sectors and explore the applicability of ANN in the context of third world countries. Here we explore the design of feed forward neural network for (1) assisting micro credit institutions to select appropriate locations to set up branches and (2) determining HIV risk of a locality. The simulation procedure and results are discussed accordingly.