Logo Lanfrica
  • Home
  • Atlas
  • Insights
  • Docs
  • Sign in

Β© 2026 Lanfrica. All rights reserved. All copyrights of the resources shown on the Lanfrica website belong to the original copyright holders, unless explicitly stated otherwise.

minasamy01/Kemet-AI-Voice-tourism-Assistant

Domain:

natural language processing

Record type:

software
Creator:
min
Host:
πŸ›οΈ KEMET is an AI-powered smart tourism platform for Egypt. It features a Voice-to-Booking AI agent, real-time translation, and an intelligent monument identification system built to provide a seamless travel experience. # 🏺 KEMET: Voice-to-Booking AI Assistantِ ### *Intelligent Conversational Agent for Smart Egyptian Tourism* --- ## πŸ“– Overview **KEMET** (ΩƒΩŠΩ…ΩŠΨͺ) is a sophisticated **Voice-First AI Agent** designed to modernize the tourism experience in Egypt. Built with **Cohere's Command-R+** and **OpenAI's Whisper**, the system acts as a digital concierge that understands natural voice commands to recommend hotels, provide historical context, and automate the entire booking process from voice to email voucher. ### πŸŽ™οΈ The Voice-First Revolution Unlike traditional booking apps, Kemet focuses on **Natural Human Interaction**: * **Zero-UI Dependency**: Users can complete a full booking cycle just by speaking. * **Context-Aware Reasoning**: The system doesn't just search; it "reasons" why a specific hotel fits the user's spoken request. --- github.com ## πŸ—οΈ Project Structure ```bash kemet/ # Root Directory β”œβ”€β”€ πŸ“‚ venv/ # Virtual Environment β”œβ”€β”€ 🐍 app.py # Main Streamlit UI & Session Management β”œβ”€β”€ 🐍 logic.py # Core AI Pipeline (Whisper & LLM Logic) β”œβ”€β”€ πŸ“„ hotels.json # Structured Database of Egyptian Tourism β”œβ”€β”€ πŸ“„ .env # Secret Configuration (API Keys & SMTP) β”œβ”€β”€ πŸ“„ .gitignore # Git Exclusion Rules β”œβ”€β”€ πŸ“„ README.md # Professional Documentation └── πŸ“¦ requirements.txt # Project Dependencies Manifest ``` --- ## 🧠 Advanced AI Pipeline The system ensures a seamless user journey through a multi-stage intelligent workflow: 1. **Acoustic Processing**: Utilizes `OpenAI Whisper (Base)` to transcribe live microphone input into high-quality text, handling diverse accents and background noise. 2. **Intent & Entity Extraction**: Employs `Cohere's Command-R` to parse the user's speech and extract key entities like **Location**, **Hotel Category**, and **Preferences**. 3. **Reasone …

Visit

github.com

Tasks

automatic speech recognitionspeech processing