Non-fungible tokens (NFTs) may initially sound like a fancy jargon, but they are actually rather simple to comprehend. Blockchain-based non-fungible tokens (NFTs) are digital items that are often linked to one-of-a-kind digital material, like music or photographs. A multi-billion dollar NFT market has appeared overnight thanks to a recent flurry of public interest. NFT collections are being produced by brands like Coca-Cola, Nike, and conventional artists like Damien Hirst and Grimes, as well as mainstream consumer goods businesses. Individual NFTs may fetch millions or tens of millions of dollars [1].

This document presents a in reference to the developments in AI and ML to make the grading and feedback process easier. Building machines which comprehend and react to text or voice data-and answer with text or speech from their own a manner closer to that of humans is the goal of natural language processing. Grading is a tiresome and time-consuming procedure, and it's frequently difficult to get regular feedbacks. So, to goal is to implement AI and machine learning algorithms to facilitate in grading and/or provide comments on submitted curriculum in the field of education and training using NLP. Modern computing necessitates sorting algorithms and their implementations to be more efficient in sorting huge data sets, both in terms of time and memory used. In order to choose an algorithm depending on the properties of the data set, this paper reviews a variety of adaptive sorting algorithms. By analyzing the trial data, machine learning enables us to build an adaptable algorithm

The main goal of this paper is to develop a control for maintaining the state of charge of the energy storage system which is used to regulate the power/frequency of microgrids and will also act as a spinning reserve to micro-grid fluctuations. SYSTEM DESIGN: One microgrid consists of a DEG, solar PV and wind power, and load. The other microgrid has DEG, wind power, and load. The tie-line connected MMG system has a common ESS. OPERATION CONSIDERATIONS: • In this system, batteries voltage, current, and temperature are controlled centrally. • Tie-line is used to exchange energy between control areas to provide inter-area support in case of a faulted condition. • Algorithm logic here is When the change in frequency (Δf) becomes negative, the ESS supplies power to the system. (This SOC should be more than the predefined value only then ESS will supply power else it won't supply power and once frequency change becomes positive, the system will charge ESS). RESULTS OF RESEARCH: • From 0 to 58s both the microgrids operate independently. • Each DEG supplies the deficit power in the respective MG. • From 58 to 245s surplus renewable energy is available at MG1 and extra energy is transferred from MG1 to MG2 depending on the load demand or stored at ESS. • To operate economically, DEG2 is stopped, and ESS is used as the spinning reserve.