2023
Diabetic Retinopathy Blindness Detection
Developed a computer vision system to identify and categorize Diabetic Retinopathy stages, aiding ophthalmologists in preventing potential blindness. This system utilized standardized retina
Sentiment Analysis of Movie Review Dataset
This project focuses on analyzing sentiment in a dataset of 25,000 unique IMDB movie reviews, classifying them into Negative, Neutral, or Positive categories. The analysis involves deep under
Voice and Large Language Models (LLM)
This project focuses on processing audio inputs using advanced speech recognition and employing large language models to extract valuable insights. It includes transcription, diarization, and
LTV Prediction for Financial Institutions
This project develops a predictive tool for assessing loan-to-value (LTV) ratios, a critical financial metric used by banks to evaluate lending risks associated with mortgages. With high LTV
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