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1. Fine-Tune-BERT-on-GoEmotion-Dataset Fine-Tune-BERT-on-GoEmotion-Dataset Public

   Fine-tuning a BERT-based model on the Multilabel GoEmotions dataset to classify text into one of 28 possible emotions

   Jupyter Notebook

2. LLM-BERT-based-Aspect-Classification-of-Healthcare-Grievances LLM-BERT-based-Aspect-Classification-of-Healthcare-Grievances Public

   Curated a dataset of reviews using web scraping with BeautifulSoup and annotation for multi-label classification. Developed classifiers by fine-tuning BERT-based models, achieving impressive accura…

   Jupyter Notebook 1

3. RAG-based-QuesAns-streamlit-app RAG-based-QuesAns-streamlit-app Public

   Contextual PDF Query Assistant using Gemma and Groq API, leveraging RAG and streamlit, utilizing FIASS vector DB to provide accurate and efficient answers to user queries based on the context of up…

   Python

4. Character-Level-Language-Modeling-with-Feed-Forward-Neural-Networks Character-Level-Language-Modeling-with-Feed-Forward-Neural-Networks Public

   Developed and implemented basic character-level language models, specifically 2-gram and 3-gram models, utilizing Feed Forward Neural Network architecture to predict the next character

   Python

5. LSTM-based-Twitter-Sentiment-Analysis LSTM-based-Twitter-Sentiment-Analysis Public

   Developed an LSTM-based Twitter Sentiment Analysis model, utilizing the Keras library. This approach effectively classifies tweets into sentiment categories, enhancing the accuracy and efficiency o…

   Jupyter Notebook

6. Fraud-Detection-in-Financial-Transactions-Using-Neural-Networks Fraud-Detection-in-Financial-Transactions-Using-Neural-Networks Public

   developed and implemented a hybrid approach to predict fraudulent transactions for a financial company, leveraging both Neural Networks and Random Forest algorithms.

   Jupyter Notebook