T

text-to-speech

Voice-based AI salary negotiation simulator. Practice high-stakes negotiations against a stateful Gemini AI opponent with hidden BATNA, trust, tension and patience. Built with FastAPI + React + Vite.

EndGame RAGHub is a scalable multimodal Retrieval-Augmented Generation platform supporting document, image, audio, and video understanding using FastAPI, Qdrant, LangGraph, and modern open-source AI infrastructure.

NarrativeNest is an interactive, full-stack AI application that generates culturally rich, multilingual folktales. Built with FastAPI and Streamlit, it features dynamic storytelling, text-to-speech narration, and automated PDF export capabilities.

This project is a real-time voice translator web application built with Streamlit. It captures live speech input via microphone, recognizes the spoken text using speech recognition, translates it to a selected target language via machine translation, and plays back the translated audio using text-to-speech synthesis. The app supports multiple languages, provides start/stop controls for continuous conversation flows, displays original and translated text, allows editing of transcriptions, and enables exporting of recordings and analysis. It aims to facilitate accessible, multilingual communication and contribute to language corpora for research purposes.

AI Voice Generator: Converts text to natural-sounding speech using AI models.

Project Description

Festival AI Assistant 🇮🇳🪔 is an AI-powered cultural assistant designed to provide detailed information about Indian festivals, with a special focus on the Telugu language. The application supports translation, text-to-speech (TTS), and AI-powered matching to help users easily learn about the origin, purpose, celebrations, and cultural aspects of various festivals.

✨ Key Features 🔍 Festival Search – Look up festivals from a structured dataset. 🌐 Telugu Translation – Automatic translation of festival details into Telugu. 🔊 Voice Output – Integrated Text-to-Speech (TTS) for audio playback. 🤖 AI Matching – Uses Sentence Transformers to find the closest matching festival from user input. 📊 Data-driven – Festival information sourced from a CSV dataset. 🖥️ Interfaces – Works via CLI and Streamlit GUI. 🛠️ Tech Stack Python 🐍 pandas (data handling) Sentence Transformers (semantic search) Google Translator API (translation to Telugu) gTTS (Google Text-to-Speech) (audio output) Streamlit (interactive UI) 🎯 Objective

To create an accessible, cultural AI assistant that:

Promotes awareness of Indian festivals. Supports local languages (starting with Telugu). Engages users with text + speech output.