Explore the power of Azure Text-to-Speech with interactive talking avatar, Lisa 👩🏻‍🦱. Choose from multiple languages and avatar styles to bring your text to life.

This project aims to develop a machine learning model to classify SMS messages as spam or not spam. The project encompasses the entire pipeline from data collection and preprocessing to model training, evaluation, and deployment using Streamlit for an interactive user interface.

A project with multi app deployment for ML with docker. A frontend with streamlit and a backend with FastAPI.

The text to speech avatar system is a text to speech feature with vision capabilities, that allow customers to create synthetic videos of a 2D photorealistic avatar speaking. The Neural text to speech Avatar models are trained by deep neural networks based on the human video recording samples, and the voice of the avatar .

Perform a regression task to predict the number of comments on a post after a certain period, applying it to Reddit

This project provides a Retrieval-Augmented Generation (RAG) based solution for extracting answers from PDF documents.

This is projected is working on zomato restaurants focusing analysing the data and predicting whether the restaurant is good or not based on other features and finally deploying the app.