PMSINTERFACE

AI Engineering · Production Infrastructure · Autonomous Operations
Deep Learning · Python Backends · n8n Workflows · AI Image Generation

TensorFlow OpenCV Flask MongoDB n8n Retell AI AI Image Generation
AI Engineering Dashboard PMSINTERFACE · AI Engineering

Services & Projects

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4 Projects
Deep Tech

Computer Vision, Neural Networks, TensorFlow, OpenCV, and custom Python architectures.

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2 Projects
Backend Infrastructure

Python, Flask, MongoDB, SQLite. Scalable APIs, data pipelines, and real-time DB systems.

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5 Projects
Autonomous Workflows

n8n, Make.com, Voiceflow, Retell AI, ElevenLabs, Tally. Conversational AI + automation.

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Deep Tech Projects
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Image Recognition Batch Pipeline
TensorFlowOpenCV

Batch inference engine processing thousands of images with custom CNN.

PropAI Real Estate Valuation
PropAI · Real Estate Valuation
Python Flask TensorFlow

Deep learning valuation engine that takes the friction out of real estate pricing.

Multi-Modal Real Estate
Multi-Modal Real Estate Prediction
CNNXGBoost

Hybrid model fusing property images + tabular data + geospatial features.

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Real-Time Object Detection System
YOLOOpenCV

Real-time object detection API serving 1000+ requests per minute.

Backend Infrastructure Projects
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E-Commerce API Gateway
FlaskMongoDB

Scalable API gateway handling 10K+ concurrent requests with 99.9% uptime.

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Data Pipeline for Analytics
PythonAirflow

ETL pipeline processing 10M+ records daily with automated reporting and alerts.

Autonomous Workflow Projects
Lead CRM Automation
Lead CRM Automation
Make.comNotion

Built a structured workflow using Make.com + Notion to clean data, track leads, and automate follow-ups.

Lead Engine
Lead Engine · AI Personalization
Slack Automation Status Filters

Automated sourcing, status-based filtering, and instant Slack notifications. AI personalization that actually scales.

24/7 Lead Capture System
24/7 Lead Capture System
Make.com Google Sheets Automation

Captures leads 24/7, routes live chats during business hours, logs to Google Sheets, and sends automated HTML follow-ups.

Reputation Guard
1:48
Reputation Guard
WhatsApp Google Reviews Automation

🔴 1-Star? ➡️ 3-sec WhatsApp alert to the Boss to fix it. 🟢 5-Star? ➡️ Auto-routes to Google to boost SEO.

High-Intake Lead System
2:00
High-Intake Lead System
BotpressMake.com

From "Empty Variable" to Enterprise Pipeline. High-ticket intake system with NLU, intent routing, and automated lead scoring.

FAQ

Frequently Asked Questions

Everything you need to know about working with PMSINTERFACE

How do you build AI automations for businesses?
We design and deploy custom AI automation workflows using tools like n8n, Make.com, Zapier, and custom Python scripts. We analyze your business processes, identify repetitive tasks, and build systems that run 24/7 without human intervention — from lead capture and CRM integration to document processing and email automation.
What's your approach to Deep Tech / AI Engineering projects?
We build production-ready AI systems — not just notebooks. From Computer Vision (TensorFlow, OpenCV, YOLO) to custom neural networks and NLP models. We handle the entire pipeline: data collection, model training, API deployment, and monitoring. The goal: AI that actually works in the real world.
What backend technologies do you work with?
We specialize in Python-based backends with Flask, MongoDB, SQLite, and PostgreSQL. We build scalable APIs, real-time data pipelines, ETL processes, and microservices architectures. We also implement caching (Redis), message queues, and orchestration tools like Airflow and Docker.
Do you design full AI websites?
Yes. We design and build full AI-powered websites that go beyond static pages. We integrate AI chatbots, recommendation engines, computer vision features, and intelligent forms. Our sites are fully responsive, SEO-optimized, and built with modern frameworks like React or Flask. We can also integrate third-party AI services like Voiceflow, Retell AI, and ElevenLabs.
What makes your autonomous workflows different?
We build systems that don't just automate — they think. Our workflows include conditional logic, AI decision-making, and real-time adaptation. We use n8n, Make.com, Voiceflow, and Retell AI to create conversational AI agents, lead scoring engines, and automated notification systems that actually handle complexity.
What kind of Computer Vision projects do you handle?
We build custom Computer Vision solutions using OpenCV, TensorFlow, and YOLO: object detection, facial recognition, image classification, real-time tracking, and document OCR. We've built systems for real estate valuation (property image analysis), security monitoring, and quality assurance pipelines.
Can you integrate with my existing tools?
Absolutely. We integrate with CRMs (Salesforce, HubSpot), communication tools (Slack, WhatsApp, email), spreadsheets (Google Sheets, Airtable), and custom databases. We also build custom APIs to connect your existing systems with new AI capabilities.
How long does a typical AI/Engineering project take?
Timeline varies by complexity:
  • Autonomous Workflow: 1–3 weeks
  • Backend API / Infrastructure: 2–4 weeks
  • AI / Deep Learning Model: 2–6 weeks
  • Full AI Website: 2–5 weeks
We work iteratively with regular check-ins and demos.
Do you handle deployment and hosting?
Yes. We deploy on platforms like AWS, Google Cloud, Azure, Netlify, and Railway. We handle CI/CD pipelines, containerization (Docker), server setup, and ongoing monitoring. Your system will be production-ready with proper logging and alerting.
What's your pricing model?
We offer flexible pricing based on project scope:
  • Fixed-price: For well-defined projects with clear deliverables
  • Hourly: For ongoing maintenance, support, and iterative development
  • Retainer: For long-term partnerships and continuous improvements
We also offer a free consultation to discuss your project and provide a detailed quote.

Ready to Build Something Amazing?

Let's discuss how I can help you scale operations with AI engineering, automation, and custom solutions.

Deep Tech · CV · LLMs Python · Flask · MongoDB n8n · Retell · Voiceflow
@pmsinterface · linkedin.com/in/ifunaya-luke-750229266
pmsinterfacecreation@gmail.com
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Reputation Guard

WhatsApp · Google Reviews · Automation
The Challenge

Most companies don't have a review problem. They have a system problem. Businesses send everyone straight to public reviews - that's where the problem starts.

  • Negative reviews go public before the business can respond
  • Business owners are "blind" to what's happening at the front desk
  • No system for routing feedback appropriately
The Solution

Built an Internal Guard System for high-ticket service brands:

  • 🔴 1-Star Reviews: ➡️ 3-second WhatsApp alert to the Boss to fix it privately
  • 🟢 5-Star Reviews: ➡️ Auto-routes to Google to boost SEO

Positive reviews get pushed public. Negative feedback gets handled privately. Reputation isn't managed - it's designed.

The Results
  • Instant alerts for negative feedback
  • Automated 5-star routing to Google
  • Reputation protection for high-ticket brands

Key insight: Reputation isn't managed - it's designed.

#ReputationManagement · #Automation · #WhatsApp · #GoogleReviews · @Pms_interface · Apr 20

Watch Demo on X (Twitter)
Reputation Guard Internal Guard System · WhatsApp Alert + Google Routing
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24/7 Lead Capture System

Make.com · Google Sheets · Automation
The Challenge

Businesses were losing leads because they couldn't capture and respond to inquiries 24/7. No system in place for after-hours lead management.

  • No 24/7 lead capture capability
  • Live chat only during business hours
  • No automated follow-up system
The Solution

Built a fully automated lead capture system that:

  • Captures leads 24/7 - Never miss a lead, even outside business hours
  • Routes live chats during business hours
  • Instantly logs everything to Google Sheets - Real-time data tracking
  • Sends automated HTML follow-ups - Professional, branded follow-ups
The Results
  • No more missed opportunities
  • 24/7 lead capture & routing
  • Automated HTML follow-ups

Key insight: Automation is the new standard. Your website needs a 24/7 worker that never asks for a raise.

#Solopreneur · #Automation · #NigeriaTech · #AI · #Make · #Voiceflow · #BuildInPublic · @Pms_interface · Apr 27

24/7 Lead Capture System Make.com + Google Sheets · Automated Lead Capture
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Lead Engine · AI Personalization

Slack · Automation · Status Filters
The Challenge

They said AI personalization doesn't scale. I spent the weekend proving them wrong.

  • Manual lead sourcing was slow and inefficient
  • No real-time status filtering for lead tracking
  • Teams missed critical lead updates without instant notifications
The Solution

Built the "Lead Engine" - a fully operational automation system with:

  • Automated Sourcing: Captures leads 24/7 without manual intervention
  • Status-based Filtering: Organizes and prioritizes leads intelligently
  • Instant Slack Notifications: Real-time alerts for hot leads
The Results
  • No more missed opportunities
  • 24/7 lead capture & routing
  • Automated HTML follow-ups

Key insight: Automation is the new standard.

#Solopreneur · #Automation · #NigeriaTech · #AI · @Pms_interface

Lead Engine Lead Engine · Slack Notifications + Automated Sourcing
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PropAI · Real Estate Valuation Engine

Python · Flask · TensorFlow
The Problem

Most AI models die inside a local code notebook doing absolutely nothing for the real world. Real estate valuation is a slow, manual headache.

  • Humans can't easily calculate how local income, building age, & room counts interact on the fly without making mistakes.
  • Clients are stuck dealing with slow consultation calls.
  • Teams waste hours manually copy-pasting data.
The Solution

I solved this by building a clean, automated 3-tier ecosystem:

  • The Brain: A Python/Flask backend powered by a deep learning neural network (.h5) that calculates multi-variable property price predictions in milliseconds.
  • The UI: A clean, friction-free Tally form for clients.
  • The Pipeline: No manual paperwork. Direct, native data pipeline routing form submissions straight into a centralized Core Dashboard Spreadsheet.
The Results
  • Instant property price predictions
  • Data entry errors eliminated
  • Fully automated data pipeline

Key insight: True engineering isn't just about training a smart machine learning model. It's about building the automated data pipeline around it so it runs like a business while you sleep.

#AI · #DeepLearning · #RealEstate · @Pms_interface · Jun 2, 2026

PropAI Real Estate Valuation PropAI · Deep Learning Valuation Engine
PropAI Dashboard Automated Data Pipeline · Flask + TensorFlow
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Lead CRM Automation

Make.com · Notion · CRM
The Challenge

They had months of leads and no system. Data was scattered. No follow-up. Hot leads slipping through.

The Solution

Built a structured workflow using Make.com + Notion to clean data, track leads, and automate follow-ups.

The Results
  • 0% lead leakage
  • Automated follow-ups

Key insight: Tools didn't fix this. Structure did.

#CRM · PMS Interface · @Pms_interface · May 5

Lead CRM Workflow Make.com + Notion Workflow
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High-Intake Lead System

Botpress · Make.com · Notion
The Challenge

From "Empty Variable" to Enterprise Pipeline. Business owners needed a high-ticket intake system that could handle leads intelligently.

The Solution

Built an end-to-end system with Botpress for NLU and intent routing, Make.com for middleware and logic, Notion as the internal ops dashboard.

The Results
  • Lead scoring in <2 seconds
  • Instant CEO notifications for hot leads

Key insight: The chat is just the surface. Behind the scenes, everything is automated.

#BuildInPublic · #AIAutomation · @Pms_interface · Apr 13

Watch Part 1 Watch Part 2
High-Intake Lead System Gmail notification · Lead scored and routed
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Image Recognition Batch Pipeline

TensorFlow · OpenCV
The Challenge

Manual quality assurance of 10,000+ product images daily was causing 15% error rate and 8-hour processing delays.

The Solution

Custom CNN model with batch inference pipeline integrated with Flask and MongoDB.

The Results
  • 85% faster than manual QA
  • 98% accuracy on test set
Terminal Terminal · batch pipeline running
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Multi-Modal Real Estate Prediction

CNN · XGBoost
The Challenge

Real estate valuation was 70% inaccurate due to manual assessment of property images.

The Solution

Hybrid model fusing property images (CNN) + tabular data (XGBoost) + geospatial features.

The Results
  • 90% prediction accuracy
  • 3x faster property valuation
Real Estate Property images → prediction matrix
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Real-Time Object Detection System

YOLO · OpenCV
The Challenge

Security monitoring required real-time threat detection across 500+ cameras with <100ms latency.

The Solution

YOLO-based detection API with OpenCV processing.

The Results
  • <50ms latency per request
  • 97% detection accuracy
Object detection Real-time object detection
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E-Commerce API Gateway

Flask · MongoDB
The Challenge

E-commerce platform needed a scalable API gateway to handle 10K+ concurrent users.

The Solution

Flask-based API with MongoDB for data persistence and Redis for caching.

The Results
  • 99.9% uptime SLA
  • 300ms average response time
API API Gateway Architecture
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Data Pipeline for Analytics

Python · Airflow
The Challenge

Processing 10M+ records daily was causing slow reporting and 4-hour data latency.

The Solution

ETL pipeline with Python and Airflow for orchestration.

The Results
  • 10x faster data processing
  • Real-time reporting
Data Pipeline Data Pipeline Dashboard
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