Yousa Tamzid Zishan@yousa_tamzid_zishan447

DocuVoice RAG is a voice-powered document question-answering system that makes it easier to interact with long and complex documents. Instead of manually searching through pages, users can upload a document and simply ask questions using their voice. The system converts speech into text using AssemblyAI, retrieves the most relevant information from the uploaded document through a Retrieval-Augmented Generation (RAG) pipeline, and generates a contextual answer. This approach helps reduce the time and effort required to find information while keeping responses grounded in the document’s content. DocuVoice RAG combines voice interaction, document retrieval, and AI-generated responses into a simple conversational experience. The project demonstrates how speech AI and RAG can work together to make document-based knowledge more natural, accessible, and user-friendly

Mushaki is an AI-powered voice assistant designed to provide a more natural and practical way for users to interact with AI. Unlike a basic chatbot, Mushaki combines conversational AI with voice interaction, desktop automation, and a web-based interface. The project has two editions: a Desktop Assistant and a Web Application. The desktop edition allows users to communicate through voice, receive spoken AI responses, perform web searches, open applications, and automate everyday computer tasks using natural-language commands. The web edition, built with Streamlit, provides an accessible interface where users can interact with Mushaki through both text and voice from a browser. Mushaki uses Google Gemini for intelligent responses and integrates speech-to-text and text-to-speech technologies to create a more interactive experience. The project focuses on making AI more accessible, useful, and action-oriented by connecting natural conversation with real-world tasks. Our vision is to evolve Mushaki into a versatile personal AI assistant that can understand users, assist with their workflows, and help them get things done faster.

🌎 Hybrid Hackathon | 💻 Online Build: September 10–16, 2026 | 📍 On-site: September 15–17, 2026 The official hackathon of AI Infra Summit — co-organized by Kisaco Research and lablab.ai. Build production-grade AI applications on the modern AI infrastructure stack, alongside 8,000+ attendees, researchers, founders, and infra leaders. 📍 On-site Venue (September 15–17): Santa Clara Convention Center 5001 Great America Pkwy, Santa Clara, CA 📍 On-site participation is by invitation only. Travel and accommodation expenses will not be covered.

🌎 Online Hackathon | 💻 Month-long challenge | Dates: Sep 1–30, 2026 | 🏆 $10,000 Prize Pool ($5k cash + $5k in AAI credits) A month-long online challenge run by lablab.ai together with AssemblyAI, the Voice AI infrastructure company for builders. Every participant builds on AssemblyAI. You can join at any point — registration stays open for the whole build window, so you can start on day one or pick the project up halfway through and still submit. 🌍 Fully online hackathon. Join and build from anywhere in the world.