Toxicity of arsenic and its effect in Asian villages due to use of dunk cakes as domestic fuel using artificial neural network

The major population in this continent is under poverty and surviving their lives in a challenging eco system. Specifically, to study the effect of arsenic related health issues thoroughly, the data was taken from five sites of continent with the help of „The Savers‟ NGO who are working in the field of environment protection. The sites were located in the Doaba region of India. The study was designed very gingerly to collect all possible related aspects. Recurrent neural network is designed for statistical analysis and observation of future trends. The Arsenic related samples were collected from water and soil of areas and health issue related reports were collected from local health centers where the worker of this NGO identified the cases and then prepared the socio-economic based questioner from the patients from January, 2019 to December, 2020. It has been observed from the results that per site, the level of arsenic was 67% more than permitted levels of Central Pollution Control Board and WHO‟s Limit and more than 200 to 350 persons out of every 1000 were affected due to increased level of Arsenic in the area. The collected data was classified according to Age, Gender, Body Mass Index and Site specific for complex and likelihood observations with maximum probability index. Based on results, it has been concluded that the environment protection agencies must follow the guidelines and let awarethe raised issue in the study for saving ecosystem from such kind of cheap practices by local inhabitants.