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recurrent-neural-networks

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This project leverages machine learning and data science to analyse and predict English dialects in the UK and Ireland based on audio recordings, contributing to sociolinguistics and dialectology. The primary objective is to train a recurrent neural network (RNN) model to accurately predict dialects across various speakers and contexts.

  • Updated Jul 9, 2024
  • Jupyter Notebook

Developed a deep learning model utilizing TensorFlow to automate the classification of financial documents. Leveraging a Bidirectional LSTM RNN, we accurately categorize the documents. Our user-friendly Streamlit application ensures high accuracy & efficiency in document management, all deployed on the Hugging Face platform for seamless integration

  • Updated Jul 7, 2024
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Welcome to InterviewX, your ultimate interview companion powered by AI. With features like scam detection, resume optimization, real-time posture analysis, time-saving text summarization, and ice breaker insights, InterviewX equips you with everything you need to ace your next interview with confidence and ease.

  • Updated Jul 4, 2024
  • Jupyter Notebook

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