This project(RAG) focuses on operationalizing LLMs by integrating OpenAI, MLflow, FastAPI, and RAGAS for evaluation. It allows users to deploy and manage LLMs, track model runs, and log evaluation …

An end-to-end MLOps pipeline(CI/CD/CT/CM) project for training, versioning, deploying, and monitoring machine learning models using FastAPI, Kubernetes, MLflow, DVC, Prometheus, and Grafana.

MultiDocWebchat combines the functionality of a PDF document reader with a powerful QA bot for in-depth document exploration.

Content Based Recommendation system uses attributes of the content to recommend similar content. It doesn't have a cold-start problem because it works through attributes or tags of the content, suc…

Config files for my GitHub profile.

We are required to model the price of cars with the available independent variables. It will be used by the management to understand how exactly the prices vary with the independent variables. They…

Predicting the sentiment of various tweets in an hashtag using text analytics techniques

The RNN-Long Short-term memory model is fed and trained with past data and the objective here is to predict the stock price for the forthcoming days.

The Convolutional Neural Network is fed and trained with images of animals and the goal here is to correctly predict the animal name which is fed in by the user for prediction

Predicting the sentiment of news headline and classifying it to proper news category (web scraped data from Inshorts website)

Using ANN to predict churn rate in a bank (classification) and Total Power produced by combined cycle plant in full load(regression)

Prediction focused on solving the problem of predicting house prices for house buyers and sellers