Update README.md

README.md

@@ -30,10 +30,8 @@ The annual reports, originates from [NSE (National Stock Exchange of India)](htt
 Initial tests indicate that approximately 524288 tokens (16384*32) are necessary to tokenize a complete annual report, rendering this database both extensive and comprehensive for deep learning applications in financial text analysis.
 
 ## Purpose
-This database forms a part of the ongoing project hosted on [GitHub - charon107/FYP](https://github.com/charon107/FYP), which aims to develop robust models capable of understanding and generating insights from detailed financial reports.
+This database forms a part of the ongoing project hosted on [NLP-Financial-Analysis-With-LLMs](https://github.com/charon107/NLP-Financial-Analysis-With-LLMs), which aims to develop robust models capable of understanding and generating insights from detailed financial reports.
 
-## Utilization
-Researchers and developers can utilize this dataset to train models for automated text generation, financial analysis, and decision-making tasks, significantly enhancing the automation of financial report assessments with AI.
 
 # Financial Parameters Overview