Michael-David Osuji
I build automation bots that save time and generate leads
Profile in progress
Michael-David is building their profile!
Google Maps Lead Generation & Email Scraper Bot
I built an automation tool that extracts business leads from Google Maps and collects contact emails directly from company websites.
This system helps generate targeted leads for outreach, marketing, and business development.
⚙️ What the system does
Searches Google Maps for businesses (e.g., “IT companies in Texas”)
Extracts business details:
Name
Website
Address
Phone number
Visits each website automatically
Crawls pages to extract all available email addresses
Handles dynamic websites using browser automation
Outputs clean, structured data (TXT/CSV)
💼 Use cases
Lead generation for marketing agencies
Sales prospecting
Market research
Business intelligence
🚀 What this demonstrates
Advanced browser automation (Selenium)
Web scraping + data extraction
Multi-step workflow automation
Real-world lead generation systems
💼 What I can do for you
Build custom lead generation scrapers
Extract business data from any platform
Automate outreach data collection
Create scalable scraping systems
🔗 Code / Demo
https://github.com/Emdysuji/google-map-info-scraper
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Automated Opportunity & Tender Monitoring System
I built an automation system that monitors, extracts, and filters opportunities from complex platforms like tender portals, RFQ systems, and procurement databases.
This system eliminates manual searching and helps businesses identify high-value opportunities faster.
⚙️ What the system does
Scrapes and monitors web-based platforms 24/7
Extracts structured data from websites, PDFs, and spreadsheets
Filters opportunities by keywords, value, region, or custom rules
Parses bid documents (PDF, Word, exports like DIBBS)
Extracts key data (pricing, quantities, set-aside types, etc.)
Outputs clean CSV/Excel datasets
Sends real-time alerts when relevant opportunities appear
💼 Who this is for
Government contractors
Procurement teams
Supply chain managers
Aviation & industrial sourcing professionals
🚀 What this demonstrates
Advanced web scraping and automation
Document parsing (PDF, Word, structured exports)
Workflow automation across multiple data sources
Building systems that replace manual labor
💼 What I can do for you
Automate your opportunity search and monitoring
Build custom scraping + filtering systems
Extract structured data from documents and platforms
Create real-time alert systems for your business
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AI Plant Disease Detection System (50+ Diseases)
I built an AI-powered plant disease detection system that identifies over 50 diseases across 10 different crops using deep learning.
The system processes leaf images and returns accurate disease predictions with confidence scores, helping enable early diagnosis and reduce crop loss.
🌱 Supported Crops
Apple, Banana, Beans, Cassava, Grape, Groundnut, Maize, Potato, Rice, Tomato
🔧 Key Features
Multi-model CNN architecture for crop-specific accuracy
Image preprocessing with OpenCV (noise/background removal)
Dataset balancing using over/under-sampling
REST API built with Flask for real-time predictions
Deployment-ready (Docker / cloud compatible)
📊 Performance Highlights
Up to 98% accuracy on several crops
Handles real-world dataset imbalance challenges
Optimized for practical agricultural use cases
⚙️ What this demonstrates
End-to-end ML system development
Computer vision expertise
API design and deployment readiness
Real-world problem solving with AI
💼 What I can do for you
Build custom image classification systems
Develop AI APIs for real-time predictions
Create computer vision solutions for agriculture or industry
Optimize and deploy ML models
🔗 Code & Demo
GitHub: https://github.com/Emdysuji/TerraLeaf-AI
Note: Full datasets and some model components are excluded.
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AI Crypto Trading System (TCN + Real-Time Inference)
I designed and built a deep learning–powered cryptocurrency trading system using a Temporal Convolutional Network (TCN) for real-time market prediction and execution.
This system processes live market data, generates predictive signals, and executes trades with integrated risk management.
🔧 Key Features:
- Real-time data ingestion from Binance Futures API
- Advanced feature engineering pipeline (68+ features)
- Memory-efficient Parquet data streaming
- TCN-based multi-target prediction (High, Low, Close)
- Real-time inference engine for live decision-making
- Risk management system for controlled trading
- Order execution layer with time synchronization
⚙️ What this demonstrates:
- Building end-to-end ML systems (not just models)
- Real-time data pipelines and streaming
- Scalable architecture design
- Production-ready AI workflows
A simplified version of this system architecture is available for review:
👉 GitHub: https://github.com/Emdysuji/Crypto-TCN-Trading-System-Architecture
⚠️ Note: Core trading logic and proprietary components are excluded
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