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An AI-driven chatbot solution that combines advanced NLP, document processing, and a lifelike digital human avatar to enhance organizational efficiency. Supports real-time, multimodal interactions, secure 2FA authentication, and multilingual accessibility, making it ideal for boosting productivity and decision-making in diverse environments.

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KishoreMuruganantham/Mimir-AI

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Mimir AI: Intelligent Enterprise Assistant (Team Maverick_24) 🚀

Smart India Hackathon 2024 - Problem Statement ID: 1706 🏆

Project Overview 💡

The Intelligent Enterprise Assistant is an AI-powered chatbot designed to boost organizational efficiency. With cutting-edge NLP capabilities, document processing, and a lifelike digital avatar, it facilitates real-time, context-aware interactions to enhance productivity and decision-making.

Features 🌟:

  • Digital Human Avatar 🤖: Engage with users through human-like responses.
  • Multimodal Input Support 📱💬: Handles text, voice, image, and document inputs.
  • Real-time Performance ⏱️: Answers queries in under 5 seconds with support for 10+ concurrent users.
  • Document Processing 📑: Extracts, summarizes, and compares key info from uploaded files.
  • Security 🔐: Email-based two-factor authentication (2FA) and inappropriate language filtering.

Technical Architecture 🔧

  1. Input Handling:

    • Text and Speech-to-Text processing 📝🎤.
    • Document uploads via Firebase with presigned URLs 📂.
  2. Processing Pipeline:

    • Uses a Large Language Model (LLM) with Retrieval-Augmented Generation (RAG) 🔍.
    • Document chunks embedded for efficient retrieval 🔄.
  3. Output Generation:

    • Responses in text and voice (Text-to-Speech) 🗣️.
    • Digital human avatar delivers lifelike interactions with multilingual lip-syncing support 🌐.
  4. Cloud Infrastructure ☁️:

    • Scalable backend using Firebase for operational efficiency.

Challenges and Mitigations ⚠️

Potential Challenges:

  • Real-time response generation and lip-syncing latency ⏳.
  • Multilingual lip-sync complexity 🌍.
  • Smooth performance with concurrent users 👥.

Strategies:

  • Optimization of Rhubarb Lipsync for real-time performance ⚡.
  • Machine learning-based context maintenance 🤖.
  • Continuous testing and performance enhancement 🔬.

Current Status 🛠️

  • Product Completion: 60% (Development in progress) 💻.
  • Next Steps:
    • Testing and validation 🧪.
    • Performance optimizations 🚀.

Benefits and Impact 🌍

  • Multilingual Support 🌏: Inclusive for diverse user demographics.
  • Accessibility ♿: Supports users with disabilities through voice and image recognition.
  • Cost Reduction 💸: Automates routine tasks, reducing operational expenses.
  • Environment-Friendly 🌱: Cloud infrastructure minimizes the carbon footprint.

Getting Started 🚀

Prerequisites ⚙️:

  • Node.js and npm (for backend)
  • Unreal Engine (for digital human integration)
  • Firebase setup 📱

Installation 💻:

  1. Clone the repository:

    git clone https://github.com/KishoreMuruganantham/intelligent-enterprise-assistant.git
  2. Navigate to the project directory:

    cd intelligent-enterprise-assistant
  3. Install dependencies:

    npm install
  4. Configure Firebase and AWS credentials in the .env file 🔑.

Running the Project 🏃:

  • Start the backend server:
    npm start
  • Launch the digital human integration in Unreal Engine 🎮.

Authors ✨

Team Maverick_24
Participants of Smart India Hackathon 2024 🎉

  1. Mugundhan Y 🏆
  2. Mukundh A P 🌟
  3. Praveen Kumar R 🔥

License 📜

This project is licensed under the MIT License. See the LICENSE file for details.

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An AI-driven chatbot solution that combines advanced NLP, document processing, and a lifelike digital human avatar to enhance organizational efficiency. Supports real-time, multimodal interactions, secure 2FA authentication, and multilingual accessibility, making it ideal for boosting productivity and decision-making in diverse environments.

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