Projects
A collection of projects showcasing my work in AI/ML and Data Science.
Project List
RecSumm: A Recursive Framework for Summarizing Legal Documents
Featured ProjectDeveloped RecSumm, a recursive NLP Frame work for summarizing long legal documents using BART/DistilBART. By recursively processing lengthy texts, the model preserves context while generating accurate and coherent summaries, outperforming leading LLMs and legal-specific models on ROUGE and BLANC evaluation metrics.
A Comparitive Study of Abstractive Text Summarization Techniques
Featured ProjectThis project focuses on evaluating six abstractive summarization models (Seq2Seq with Attention, BERTSUMABS, BART, T5, PEGASUS, XLNet) on benchmark datasets (CNN/DailyMail, XSum, Gigaword). The models were analyzed using ROUGE and BLEU metrics to measure fluency, coherence, and content accuracy.
Sentiment Analysis of Tweets
Featured ProjectThis project involves Natural Language Processing (NLP) to perform sentiment analysis by classifying tweets as positive or negative. Machine learning models are employed for classification, with additional focus on text mining, text analysis, data analysis, and data visualization.