Essay grading plays a crucial function in English writing, but the process is tedious and time-consuming. Excessive and illogical outcomes are produced by conventional approaches to the grading of essays written in English composition. Hence, an intelligent assessment framework for essay analysis and evaluation is proposed in this research. Prior to implementing the indicators in accordance with the specifications of the composition assessment, the outcomes of the evaluation are analyzed using the XGBoost algorithm and semantic similarity. Essay evaluation: segment and minimize diversions. In order to create an assessment scheme for essays, the XGBoost algorithm and semantic similarity analysis look at the outcomes of the English composition evaluation. We looked over the findings thoroughly. The intelligent assessment framework assesses the precision and essay evaluation of English writing in MATLAB simulations, according to certain evaluation criteria. Time is more effective than more conventional approaches.