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Welcome to Gima AI Chatbot

Gima is an intelligent assistant designed specifically for asset and maintenance management at UNEG. Built with cutting-edge AI technology, it provides a conversational interface for managing work orders, analyzing equipment, and streamlining maintenance operations.

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Key Features

Multimodal Chat

Chat with text, voice, and images to interact naturally with the system

Voice Commands

Create and manage work orders using natural voice commands

Image Analysis

Analyze equipment and parts using AI-powered computer vision

PDF Processing

Extract and analyze content from maintenance manuals and documents

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AI-Powered Tools

Gima includes specialized AI tools to enhance your maintenance workflows:

Checklist Builder

Generate custom maintenance checklists automatically

Activity Summaries

Create professional summaries of maintenance activities

Work Order Closeout

Generate detailed closeout notes for completed work orders

Data Transformation

Transform and visualize asset and inventory data with generative UI

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Quick Start

Get started with Gima in minutes:
1

Installation

Clone the repository and install dependencies with npm, yarn, or pnpm
2

Configuration

Set up your API keys for GROQ and Google Gemini
3

Start Chatting

Run the development server and start interacting with the AI assistant

Get Started

Follow our quickstart guide to set up Gima in under 5 minutes

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Technology Stack

Gima is built with modern web technologies:
  • Next.js 16 - App Router with React Server Components
  • React 19 - Latest React with concurrent features
  • Vercel AI SDK v5 - Multi-provider AI integration
  • TypeScript 5 - Type-safe development with strict mode
  • Tailwind CSS 4 - Modern utility-first styling
  • GROQ & Google Gemini - Multiple AI model support

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Use Cases

Query equipment status, view maintenance history, and create work orders using natural language commands like “Show me all HVAC units in sector 3” or “Create urgent maintenance for BCA pump.”
Check spare parts availability, track inventory levels, and identify low-stock items with queries like “Which parts are running low?” or “Show me the inventory for air conditioning components.”
Upload images of equipment or parts for AI-powered analysis using Gemini Vision. The system can identify components, detect issues, and suggest maintenance actions.
Upload maintenance manuals and technical documents as PDFs. Gima extracts content and answers questions about procedures, specifications, and troubleshooting steps.

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Next Steps

Quickstart Guide

Get Gima running in your environment

Configuration

Learn about environment variables and feature flags

API Reference

Explore the chat API and server actions

Components

Integrate Gima components into your application

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