A web application that compares weather data for two different locations, including a 5-day forecast. The application uses Django for the backend and JavaScript for fetching and displaying weather data on the frontend.

A Streamlit application for embedding and analyzing user thoughts using PostgreSQL and Principal Component Analysis (PCA).

Sentiment analysis on Amazon product reviews using NLP techniques. Aiming to help businesses understand customer sentiment. Code includes preprocessing, classification & evaluation in Python. Access limited to team & instructor.

This repository fine-tunes models like OPT_LoRA, DistilGPT2_LoRA, BLOOM, and Cerebras for sarcasm detection in text. It includes datasets, preprocessing, training scripts, and model usage for sarcasm classification.

This repository is part of an ongoing research for hate speech detection using RNN, LSTM and GRU based architecture moving on to transfer finetuning using RoBERTa.