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.

StreamIt propose une expérience de streaming fluide avec un accès direct aux épisodes et à leurs informations.

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 Streamlit-based platform offering Ayurvedic remedies. Users can ask queries and complete a questionnaire to discover their dosha (body constitution).

Streamlit app that applies Bayesian modelling to sports data — live win-probability curves, player impact estimates, and predictive simulations.

StratIQ is a hybrid, rule-based algorithmic trading system designed to capture medium-term market trends using trend, momentum, and volatility filters with strict risk management.

Documentation de la partie JavaScript de StreamIt

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.

JobFitIndex is an AI-native anti-portfolio built with Python, Streamlit, SQLite and OpenRouter LLMs. Developed in a 48-hour Cosmico hackathon, it’s a working prototype for AI-guided interviews, scoring and Markdown anti-portfolio generation.

A multi-agent AI research assistant built with OpenAI Agents SDK and Firecrawl for deep, automated web research.

An internship assignment that creates a FAISS and ChromaDB vector database from a "Luke Skywalker" Wikipedia page for question answering.

A test project integrating FAISS vector embeddings with Gemini, deployed on Streamlit Cloud.

Waste2Hydrogen ML Dashboard — A Streamlit-powered analytical dashboard synthesizing 29 peer‑reviewed papers (2024–2026) on machine learning applications for hydrogen production from waste feedstocks. Includes interactive charts, paper filtering, and technical explanations of ML algorithms, optimization methods, and interpretability techniques.

A machine learning project to detect fraudulent credit card transactions while optimizing revenue through intelligent decline strategies and risk-based decision making.

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

This project analyzes bird species distribution and diversity in forests and grasslands, exploring how environmental factors like vegetation, climate, and terrain influence populations. Insights support habitat conservation, biodiversity management, and understanding environmental change impacts.

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

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.