Report Summarizer

Developed an automated summarization tool leveraging the Flan-T5 pre-trained model to generate concise summaries from lengthy reports. implemented the Flan-T5 model for text summarization tasks. Fine-tuned the model using domain-specific datasets to enhance summarization accuracy.

Text-to-Image generator

Built a text-to-image generation model using Stable Diffusion, a powerful deep learning pipeline. Based on the user input text descriptions the model generates realistic images based on those prompts. Image generation can be enhanced and performance can be optimized by adjusting parameters.

Bank Customer Segmentation using K-means Algorithm

The goal of the project is to divide the bank customers based on common characteristics such as demographics or behavior. In this project, I performed customer segmentation on a dataset containing customer demographics and transactions data from an Indian bank.

Twitter Sentiment Analysis

Developed a machine learning model to analyze and classify sentiments in Twitter posts, enhancing insights into public opinion. Implemented various machine learning models (e.g., Logistic Regression, SVM, Random Forest) and deep learning models to classify tweet sentiments