You will get AI submittal review assistant for specs, cut sheets, and product data
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Top Rated
Project details
You will get an AI assisted submittal review workflow that helps your team turn messy submittal logs, cut sheets, spec sections, and vendor documents into a cleaner, faster review process.
The system will extract key submittal details such as item names, vendors, spec references, statuses, dates, and required fields. It can then compare submitted documents against project specs to flag missing items, mismatches, alternates, deviations, and possible RFI gaps.
Instead of replacing the reviewer, the goal is to support the reviewer by organizing the information, highlighting issues, showing source evidence, and drafting review comments that can be edited before approval.
Depending on the package, the workflow can also include review statuses, comments, exportable Excel logs, PDF review packets, and a path to connect with tools like Procore, ERP, or internal project systems.
The end result is a practical submittal review assistant that helps construction teams reduce manual checking, catch issues earlier, and prepare cleaner review packets with more confidence.
The system will extract key submittal details such as item names, vendors, spec references, statuses, dates, and required fields. It can then compare submitted documents against project specs to flag missing items, mismatches, alternates, deviations, and possible RFI gaps.
Instead of replacing the reviewer, the goal is to support the reviewer by organizing the information, highlighting issues, showing source evidence, and drafting review comments that can be edited before approval.
Depending on the package, the workflow can also include review statuses, comments, exportable Excel logs, PDF review packets, and a path to connect with tools like Procore, ERP, or internal project systems.
The end result is a practical submittal review assistant that helps construction teams reduce manual checking, catch issues earlier, and prepare cleaner review packets with more confidence.
AI Algorithms
Large Language Model, Multimodal Large Language ModelAI Applications
AI Chatbot, AI Text-to-Image, AI Text-to-Speech, Conversational AI, Image Processing, Image Recognition, Natural Language GenerationAI Development Language
PythonAI Tools
Azure OpenAI, Microsoft 365 Copilot, PyTorch, Replit, Streamlit, TensorFlowAI Models
ChatGPT, GPT-4, LLaMA, WhisperWhat's included
| Service Tiers |
Starter
$900
|
Standard
$3,300
|
Advanced
$5,700
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 30 days |
Number of Revisions | 2 | 5 | 10 |
AI Model Integration | - | ||
Batch Normalization | - | - | - |
Database Integration | - | - | |
Detailed Code Comments | |||
Image Upscaling | - | - | - |
MLOps | - | - | - |
Model Deployment | - | - | |
Model Documentation | - | ||
Model Monitoring | - | - | - |
Model Testing & Optimization | - | ||
Model Tuning | - | - | - |
Natural Language Processing | |||
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | |||
Setup File | |||
Source Code |
Frequently asked questions
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HS
Heiko S.
Feb 2, 2026
Senior Agentic AI Developer
Zohair was a great Team player.
His communication style is outstanding and he possess good knoledge in the Field of AI development (Promtp Engineering, Python and Architecture)
His communication style is outstanding and he possess good knoledge in the Field of AI development (Promtp Engineering, Python and Architecture)
JM
John M.
Nov 4, 2025
Developer Needed for Bolt.new Project with Supabase, Netlify, and OpenAI API Integration
Great work from Zohair!
JS
Justin S.
Oct 8, 2025
Senior AI Engineer for Compliance Automation & Safety Management Solutions
Outstanding to work with - professional, highly skilled, and consistently responsive. Work was top notch and they always go above and beyond to deliver excellent results quickly and efficiently. I highly recommend if you're looking for someone experienced in Agentic AI and Computer Vision, especially for Compliance and Safety!
ME
Matthew E.
Sep 12, 2025
Add AI Search to our Platform
Zohair is great to work with. Has worked on many of our projects and will continue to.
ME
Matthew E.
Aug 25, 2025
Type to AI Clinical Notes | Healthcare AI Engineer | LangChain, LangGraph, RAG, AI Agents
Zohair is the man. We have now worked together on several different builds. His willingness to make sure all builds are running properly, even when he is not responsible for it goes beyond what he needs to do, and is very much appreciated. We’ll continue to work together.
About Muhammad Zohair
AI/ML Engineer & Data Scientist | ML Model, Computer Vision & AI Agent
100%
Job Success
Lahore, Pakistan - 10:34 am local time
𝗥𝗲𝗰𝗲𝗻𝘁 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗔𝗜/𝗠𝗟 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝗜’𝘃𝗲 𝗯𝘂𝗶𝗹𝘁:
• Facial biometrics and liveness detection product with anti-spoof/deepfake checks, iBeta Level 2 ISO/IEC 30107-3 compliance, 0% APCER in testing, and sub-second identity checks
• Global KYC, KYB, AML, and identity verification platform supporting 2,000+ clients, 240+ countries/territories, 10,000+ document types, and 150+ languages
• European voice/chat agentic AI infrastructure platform for banking and consumer use cases using LangGraph and RAG to help teams ship enterprise-grade AI agents from idea to production in 1–2 months
• Patient-centered healthcare platform for appointments, medical records, Rx refills, provider chat, EHR integration and 24/7 care access
• Regulated fintech investment platform using FastAPI, Qdrant and live market APIs across 12,000+ U.S. stocks/ETFs, fractional investing, and algorithm-based portfolio recommendations
• PDF and blueprint extraction pipeline using YOLO, Gemini Vision, OCR, and two tier model routing to turn construcion drawings into structured takeoff datasets
• Multimodal visual search backend for product discovery using Typesense CLIP embeddings, Gemini object detection, crop-level vector search, request budgets, and fallback handling
𝗪𝗵𝗮𝘁 𝗜 𝗰𝗮𝗻 𝗵𝗲𝗹𝗽 𝘆𝗼𝘂 𝘄𝗶𝘁𝗵:
• ML model development, classification, forecasting, predictive analytics, recommendation systems, regression, anomaly detection and optimization
• Computer Vision, object detection, OCR, image/document understanding, liveness detection, segmentation, tracking, sports/video analytics and multimodal AI
• AI Agents, tool calling, API-connected workflows, memory, context, workflow automation, human in the loop review and multi-step reasoning
• RAG assistants, semantic search, hybrid search, private document Q&A, embeddings, vector search, and internal knowledge-base AI
• Data extraction from PDFs, forms, drawings, invoices, receipts, screenshots, scanned files, tables, IDs, bounding-box extraction and business records
𝗖𝗼𝗿𝗲 𝘀𝘁𝗮𝗰𝗸:
• AI/ML & Data Science: Python, NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow, Hugging Face, ML model development, model evaluation, classification, regression, forecasting, predictive analytics, recommendation systems, and optimization
• Computer Vision: OpenCV, OCR, object detection, image classification, segmentation, facial biometrics, liveness detection, image recognition, visual search, and document/image understanding
• LLM, RAG & AI Agents: OpenAI, Claude, Gemini, Llama, LangChain, LangGraph, LlamaIndex, embeddings, vector search, RAG pipelines, prompt engineering, tool use, memory, context, and multi-step agent workflows
• Data Extraction & Processing: PDF parsing, document AI, OCR pipelines, form extraction, invoice/receipt extraction, table extraction, ID/document verification, structured JSON extraction, and data cleaning
• Backend & Integration: FastAPI, REST APIs, PostgreSQL, MongoDB, Redis, API integrations, background jobs, authentication flows, and production AI integrations
• Vector Databases & Search: Pinecone, Qdrant, FAISS, ChromaDB, semantic search, hybrid search, and knowledge-base retrieval
🎯 My strongest fit is a project with real data, unclear requirements, a broken pipeline, or measurable targets around accuracy, false positives, latency, cost, compliance, or launch readiness.
If you are building an AI/ML model, Computer Vision system, RAG assistant, data extraction pipeline, or AI Agent, send me a message and let’s map the right AI approach before writing code.
Steps for completing your project
After purchasing the project, send requirements so Muhammad Zohair can start the project.
Delivery time starts when Muhammad Zohair receives requirements from you.
Muhammad Zohair works on your project following the steps below.
Revisions may occur after the delivery date.
Review files, specs, logs, and current workflow
I will review your sample submittal files, spec sections, logs, RFIs, and current review process to understand the document structure, review stages, required fields, and output needs.
Extract submittal data into clean review fields
I will build the extraction flow to capture key details such as submittal IDs, titles, vendors, spec references, statuses, dates, model numbers, drawing references, and reviewer notes.