• Divesh Manish Koli
• Akash Bhimani
• Drishti Goda
• Kanchan Dabre

In recent years there has been a sudden growth of online social media. Every day, government accounts receive thousands of messages from the general public in the form of opinions, concerns, and grievances. It becomes an extremely troublesome task for the concerned ministries in the government, to manually filter out the irrelevant messages and respond to the genuine ones. Also, along these lines, no move is made by the administration services on the significant concerns or the complaints of the general population. In this paper, the endeavor is to develop an Online Social Grievance Redressal System wherein individuals can post their grievances and they would be automatically segregated under that similar category by utilizing learning algorithms. We have considered the Random Forest Algorithm to Categorize and compare the grievances and these outcomes to determine the most effective learning algorithm.

Grievance, Grievance Redressal System (GRS), Learning Algorithms.

"Online Social Grievance Redressal using Blockchain", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 3, page no.215-219, March-2020, Available :http://www.jetir.org/papers/JETIR2003333.pdf

"Online Social Grievance Redressal using Blockchain", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 3, page no. pp215-219, March-2020, Available at : http://www.jetir.org/papers/JETIR2003333.pdf