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  • University of Texas at Dallas
  • Dallas

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  1. GAIA_question_answering_agent GAIA_question_answering_agent Public

    This project implements a tool-calling agent capable of answering questions from the GAIA benchmark, as part of the final assignment from the Hugging Face Agents Course.

  2. Tweet-clustering Tweet-clustering Public

    cluster tweets using the Jaccard Distance metric and the K-means clustering algorithm. This approach groups similar tweets together, which is useful for applications like trend analysis and content…

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  3. DNA-Sequencing-using-K-mer-Counting-and-Machine-Learning-Techniques DNA-Sequencing-using-K-mer-Counting-and-Machine-Learning-Techniques Public

    Utilizing support vector machines, naïve bayes classification and neural networks to find which gives the best results of classification of DNA sequence data into 7 different protein classes.

  4. RAG--based-Question-answering-chatbot- RAG--based-Question-answering-chatbot- Public

    RAG-based question answering chatbot using Deep Lake, LangChain, and GPT-3.5. This project builds a chatbot that retrieves relevant information from text datasets using vector embeddings and genera…

    Jupyter Notebook

  5. Scinetific-Text-Summarizer Scinetific-Text-Summarizer Public

    This summarizer generates short summaries of scientific articles from Google Scholar using the power of the affordable GPT-3.5-turbo.

  6. SENTIMENT-ANALYSIS-OF-THE-IMDB-REVIEWS-USING-NEURAL-NETWORKS SENTIMENT-ANALYSIS-OF-THE-IMDB-REVIEWS-USING-NEURAL-NETWORKS Public

    In this project, I aimed to apply three variations of Neural Networks, Simple Neural Networks (NNs), Convolutional Neural Networks (CNNs), and Long Short-Term Memory Networks (LSTM), for the sentim…