Chatbot Developer for Facility Management Automation (NLP + CV)

Deliverables:
- Fully functional AI chatbot with QR code-based fault reporting
- Integration with WhatsApp & web interface
- Dashboard with real-time issue tracking
- Documentation and deployment support



AI Facility Management Chatbot
Project Overview
The AI Facility Management Chatbot is designed to automate fault reporting, issue tracking, and maintenance task management in large-scale facilities. It leverages AI and NLP to streamline communication between facility managers, technicians, and users, ensuring faster issue resolution and data-driven decision-making.
Objectives
Automate maintenance request handling to reduce manual workload.


Provide real-time updates and AI-driven insights for facility managers.


Improve response time and resolution efficiency through automated work assignments.


Enhance predictive maintenance to prevent recurring issues.


Integrate seamlessly with existing facility management systems.


Key Features
Instant Fault Reporting & Categorization


Users scan QR codes to report issues.


AI categorizes and prioritizes complaints.


Computer Vision (CV) analyzes issue severity.


AI-Based Summarization & Reporting


Generates daily reports and dashboards.


NLP-powered voice commands for insights.


Automated Work Assignment & Tracking


Assigns tasks based on technician availability and expertise.


Sends notifications via WhatsApp, Slack, and SMS.


Predictive Maintenance & Cost Reduction


Detects patterns in recurring issues.


Provides proactive maintenance recommendations.


Multi-Platform Integration & Voice Support


Available on Web, WhatsApp, Slack, and mobile.


Supports voice commands via Alexa or Google Assistant.