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WAQI – Workplace Automated Quality Inspector/Engineering Chatbot (Dec 2024)
Location
Saudi Aramco
Project type
Web Development, LLM, CNN
Tools
ReactJS, Node.js, CNN, Pytorch, RestAPI, Meta Offline, Llama
Award
First Place in the STEP Innovation Competition at Saudi Aramco, recognized as the top project out of 214 participants
This project showcases a chat interface displaying an engineering chatbot conversation. It also includes a website called WAQI, which was designed with one goal: to make industrial work safer using intelligent automation rather than after-incident reaction. The platform won 1st Place at the Saudi Aramco STEP Innovation Competition, achieving top ranking among 214 participants for its potential to reduce risk, improve compliance visibility, and support workers through immediate AI-based guidance.
The system was built using ReactJS, Node.js, MongoDB, REST APIs, CNN-based PPE detection, and Meta Llama for engineering assistance. LLaMA was explicitly configured to return document citations with every answer to prevent hallucination and ensure that all safety guidance is grounded in referenced material rather than model inference. The prototype used dummy plant data to simulate real incident conditions during development, enabling system demonstration before field deployment.
Key Features
AI-Powered Safety Intelligence
• CNN-based PPE detection model with 89% accuracy
• Detects missing helmets, gloves, vests, goggles, etc.
• Flags safety violations in real-time from simulated CCTV streams
Multi-Role Web Interfaces
• Worker View – PPE check, hazard inquiry, safety steps
• Inspector View – Violations dashboard, compliance logs
• Supervisor View – Oversight analytics, review of accumulated incidents
(All users have access to the engineering chatbot)
Engineering Chatbot (Meta Llama)
• Retrieves procedures from uploaded manuals rather than fabricating answers
• Returns exact source reference links in every response
• Supports safety procedure Q&A, equipment workflows, gas-testing guidance
• Combats LLM hallucination by turning back the reference document for engineer's review
Additional Prototype Modules
• Health monitoring input simulation
• Gas detection + PI Vision preview integration
• Safety logbook + post-job digital reporting
Summary
WAQI demonstrates a future where plant safety is not only monitored — but understood, referenced, and assisted by AI. With role-based interfaces, verifiable LLM responses, and high-accuracy PPE recognition, it shows how digital safety infrastructure could evolve into something proactive, transparent, and lifesaving. The homepage has navigation options for accessibility.
