Enriching Trustworthy trade in Decentralized system using Blockchain

A growth in consumers of current Web Applications may be attributed in large part to the improved affordability of the internet platform, which has led to a surge in users across a wide range of internet networks in current history. This data can be put to many good uses, but it really shines when applied to machine learning and artificial intelligence systems. Machine learning algorithms are additional essential and basic technique for gaining in-depth understanding of a topic or event of interest. Machine-learning algorithms perform best with massive amounts of data. Multiple solutions for providing safe ways to transfer data have indeed been investigated in this research. These methods have indeed been instrumental in assisting us in developing a safe, reliable, and productive system for managing information flows and accessibility. Therefore, there is a need for an effective and useful mechanisms that can allow for the effective sharing of the data as well as incorporate reliability and accountability to the entire system. This is achieved through the use of the reward and penalty scheme that is enabled through the use of a judgement module that is integrated with the distributed blockchain framework. The approach has been subjected to extensive tests that have been crucial in the realization of the superiority of the approach in achieving effective and accountable data sharing through blockchain.