TY - GEN
T1 - Deployment of Random Forest Algorithm for prediction of ammonia in river water
AU - Soumya, S.
AU - Tamatgar, Nilufer
AU - Dilli, Ravilla
AU - Kanthi, M.
N1 - Publisher Copyright:
© 2024 Owner/Author.
PY - 2024/2/1
Y1 - 2024/2/1
N2 - The fascinating aspect of machine learning (ML) is its diverse application. ML models are most useful when it comes to the conservation of natural resources through sustainable usage. An essential natural resource, water is vital to life as we know it. Ammonia poses a serious hazard to aquatic life and is a primary source of pollution in waterways. To estimate the ammonia content in river waters, machine learning algorithms are used in this study. After testing and training many ML regression models, The Flask API is used to deploy the model that fits the data the best. Based on the values of pH, DO (dissolved oxygen), and COD (chemical oxygen demand), the website shows the amount of ammonia in the river water.
AB - The fascinating aspect of machine learning (ML) is its diverse application. ML models are most useful when it comes to the conservation of natural resources through sustainable usage. An essential natural resource, water is vital to life as we know it. Ammonia poses a serious hazard to aquatic life and is a primary source of pollution in waterways. To estimate the ammonia content in river waters, machine learning algorithms are used in this study. After testing and training many ML regression models, The Flask API is used to deploy the model that fits the data the best. Based on the values of pH, DO (dissolved oxygen), and COD (chemical oxygen demand), the website shows the amount of ammonia in the river water.
UR - http://www.scopus.com/inward/record.url?scp=85195388868&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85195388868&partnerID=8YFLogxK
U2 - 10.1145/3651781.3651811
DO - 10.1145/3651781.3651811
M3 - Conference contribution
AN - SCOPUS:85195388868
T3 - ACM International Conference Proceeding Series
SP - 18
EP - 23
BT - ICSCA 2024 - 2024 13th International Conference on Software and Computer Applications
PB - Association for Computing Machinery
T2 - 13th International Conference on Software and Computer Applications, ICSCA 2024
Y2 - 1 February 2024 through 3 February 2024
ER -