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depplearning

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The project researches sentiment analysis on Twitter, with the goal of evaluating the positivity, negativity or neutrality of comments. Using Word Embeddings, an advanced method in natural language processing, our model achieved a high accuracy of 96.61%. The model was trained on Twitter data and tested on a data comment dataset from Binance.

  • Updated Mar 27, 2024
  • Jupyter Notebook

I have developed a project using a CNN model to detect diseases in three plants: potato, tomato, and pepper. Despite limited resources, I trained separate models for each disease and successfully integrated them into a Streamlit app. The accuracy achieved on these three plants is remarkably high.

  • Updated Jul 23, 2023
  • Jupyter Notebook

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