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abhijeet-talaulikar/README.md

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  1. Contextual-Image-Based-Recommendation-Model-For-Personalized-Fashion Contextual-Image-Based-Recommendation-Model-For-Personalized-Fashion Public

    Image-based recommendation framework using EfficientNet and Seq2Seq model. The model recommends products that customer buys in the next 3 months with a recall score of 0.67 and precision 0.70.

    Jupyter Notebook 1 1

  2. Spoiler-Detection-Using-Self-Attention-Based-Siamese-LSTM-and-Convolutional-Similarity Spoiler-Detection-Using-Self-Attention-Based-Siamese-LSTM-and-Convolutional-Similarity Public

    A Text-CNN based Siamese neural network architecture with self-attention to find position-invariant semantic textual similarity between movie plots and their reviews with a sensitivity of 78% and a…

    Jupyter Notebook

  3. Identifying-Causative-Agents-in-Pneumonia-Diagnoses-Using-Deep-CNN Identifying-Causative-Agents-in-Pneumonia-Diagnoses-Using-Deep-CNN Public

    A Deep CNN based framework for the diagnosis of viral or bacterial pneumonia. The proposed model succeeds in identifying the causative agent with a sensitivity of 87% and a specificity of 93.25%.

    Jupyter Notebook

  4. Social-Media-Study-of-Public-Opinions-on-Abortion-in-the-aftermath-of-Texas-Heartbeat-Act Social-Media-Study-of-Public-Opinions-on-Abortion-in-the-aftermath-of-Texas-Heartbeat-Act Public

    A Twitter Opinion Classification model using BERT, M3 Inference Model and Deep Face that predicted user opinion on abortion with 96% accuracy.

    Jupyter Notebook 1

  5. An-Enhanced-Approach-for-Detecting-Helmet-on-Motorcyclists-Using-Image-Processing-and-ML An-Enhanced-Approach-for-Detecting-Helmet-on-Motorcyclists-Using-Image-Processing-and-ML Public

    A combination of Gaussian Mixture Models and SVM to identify motorcyclists who are not wearing helmets using surveillance camera footage. The model accuracy was 95%.

    Python 14 12

  6. Estimating-Childhood-Obesity-Rates-in-New-York-s-Counties-Using-Socio-Economic-Factors Estimating-Childhood-Obesity-Rates-in-New-York-s-Counties-Using-Socio-Economic-Factors Public

    Novel method to measure the obesity rate across every county and population groups using social, family and economic contexts. XGBoost Regressor model gave lowest MAPE score of 0.1899

    Jupyter Notebook