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chat-with-database

I've created a chatbot that makes chatting with databases easy. Just provide the OpenAI API and database info, and you can start a conversation with your database. The chatbot not only helps with talking but also gives SQL queries for your questions.

dataguru

The "DataGuru" library is designed to provide various data analysis and preprocessing functionalities to simplify common tasks in data science projects.

end-to-end-credit-card-default-prediction

end-to-end-diabetes-mellitus-prediction

In this project, various machine learning algorithms and data analysis techniques were used to predict diabetes types. The dataset was obtained from Apollo hospital.

end-to-end-loan-eligibility-prediction

This project successfully predicted the loan eligibility of customers using machine learning algorithms and EDA techniques. The best model achieved an accuracy of 82.46% and can be used to predict the loan eligibility of customers more accurately.

gunaxprofessional

laptop-price-prediction

This project shows that it is possible to predict the price of a laptop accurately using machine learning algorithms and data analysis techniques. The Random Forest Regressor algorithm gave the best result in this project, but other algorithms can also be used depending on the nature of the problem.

personal-chatbot-using-llm

Created a personal chatbot with the Meta Llama 2 LLM model, offering details on professional background. Integrated Gradio and Langchain frameworks for a user-friendly interface and streamlined app development, utilizing Chroma Vector for text embeddings.

portfolio

predict-next-word-using-lstm

sentiment-analysis-model-deployment-pipeline

This project deploys an 87% accurate sentiment analysis model using LSTM with TensorFlow. The model is served through a Flask web service, containerized with Docker, and orchestrated with Kubernetes. A user interface, implemented with HTML and CSS, enhances the interaction. MySQL on AWS RDS logs predictions.

sentiment-analysis-of-the-israel-plastine-war

I delve into the world of online discourse surrounding the Israel-Palestine conflict. By analyzing Reddit comments, our goal is to decipher the sentiments and geopolitical stances of users participating in these discussions. Leveraging Natural Language Processing (NLP) techniques

store-dashboard-using-powerbi

The dashboard provides a quick and informative overview of the sample-superstore dataset. It allows the user to gain insights into the sales, orders, quantity, and region wise data. With its user-friendly interface and various features, it is an effective tool for data analysis and visualization.

web-scraping-the-premier-league

This project is aimed at scraping data from the Premier League website using the Scrapy framework. The goal was to extract match details for all the matches played in the Premier League for the last five years.