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.
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Updated
Jun 22, 2024 - Python
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.
A Streamlit-based platform offering Ayurvedic remedies. Users can ask queries and complete a questionnaire to discover their dosha (body constitution).
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.
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 .
A project with multi app deployment for ML with docker. A frontend with streamlit and a backend with FastAPI.
An AI-based tool that allows users to upload documents and receive concise summaries and Question-Answering on that Document. The system utilizes vector embeddings to capture key details from the content, enabling quick and accurate response on prompt.
A test project integrating FAISS vector embeddings with Gemini, deployed on Streamlit Cloud.
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.
A prototype for the SIH 2024 Police Department, where users can speak about a crime scenario and receive relevant IPC sections that apply to the situation.
Perform a regression task to predict the number of comments on a post after a certain period, applying it to Reddit
An internship assignment that creates a FAISS and ChromaDB vector database from a "Luke Skywalker" Wikipedia page for question answering.
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