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RohitXJ/README.md
  • πŸ‘‹ Hi, I’m Rohit
  • πŸ‘€ I’m interested in Python, C++, Game Development & Machine Learning
  • 🌱 I’m currently pursuing B.Tech in Computer Science Engineering (AI & ML)
  • πŸ’Ό I'm working on ML, DL, and NLP-based projects using PyTorch.
  • πŸ€– Check out my deployed models and ML demos on Hugging Face: huggingface.co/RJx334
  • πŸ’Ό Connect with me on LinkedIn: linkedin.com/in/rohit-gomes-12209620a
  • πŸ’žοΈ I’m looking to collaborate on open-source AI/ML or Game Dev projects
  • πŸ“« Reach me at: gomesrohit92@gmail.com

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  1. few_shot_lib few_shot_lib Public

    A minimal library for few-shot image classification using support and query sets.

    Python

  2. few-shot-web few-shot-web Public

    A lightweight Few-Shot Image Classifier built with PyTorch, capable of recognizing new classes from just a few examples using prototype-based learning. Designed for easy model export and integration.

    Python

  3. ML-Model-Evaluation-Dashboard ML-Model-Evaluation-Dashboard Public

    A modular ML evaluation tool with a Streamlit frontend. Upload any CSV dataset, select the target column, apply optional PCA and feature selection, and evaluate Logistic Regression performance with…

    Python

  4. Amazon-Product-Review-Sentiment-Classifier Amazon-Product-Review-Sentiment-Classifier Public

    A machine learning project that analyzes Amazon product reviews to classify them into Positive, Negative, or Neutral sentiments. It showcases the use of both unsupervised learning for clustering un…

    Jupyter Notebook

  5. Credit-Card-Fraud-Detection Credit-Card-Fraud-Detection Public

    Credit Card Fraud Detection using ML models

    Jupyter Notebook 1

  6. CropCure-Plant-Disease-Classifier-using-MobileNetV2 CropCure-Plant-Disease-Classifier-using-MobileNetV2 Public

    CropCure is a lightweight deep learning-based web app that can classify plant diseases from leaf images using the MobileNetV2 model. Designed to assist farmers, agriculturists, and researchers in i…

    Jupyter Notebook