Exacto Tech - AI-Powered Quality Control Management System
Project Overview
Exacto Tech is an AI-powered quality control management system that enables real-time monitoring and automated defect detection for manufacturing processes using machine learning.
Led the development of a comprehensive full-stack solution using Next.js, Tailwind, Prisma, and PostgreSQL, architecting the entire system from frontend to backend infrastructure.
Built machine learning inference API using Flask and Python, implementing real-time image processing with custom ML model integration for automated defect detection.
Architected microservices infrastructure with Docker containerization, PostgreSQL database, Apache Solr search engine, and RESTful APIs supporting production and validation modes.
Implemented real-time monitoring dashboard with live data visualization, performance metrics tracking, and WebSocket integration for edge device communication.
Key Features
Machine Learning Inference API
Built Flask-based Python API implementing real-time image processing with custom ML model integration for automated defect detection.
Microservices Architecture
Architected infrastructure with Docker containerization, PostgreSQL database, Apache Solr search engine, and RESTful APIs supporting production and validation modes.
Real-time Monitoring Dashboard
Implemented dashboard with live data visualization, performance metrics tracking, and WebSocket integration for edge device communication.
Full-Stack Solution
Led development using Next.js, Tailwind, Prisma, and PostgreSQL, architecting entire system from frontend to backend infrastructure.
Challenges & Solutions
Real-time Image Processing
Processing images in real-time with ML models while maintaining low latency was challenging.
Solution:
Implemented efficient Flask API with optimized ML model integration and asynchronous processing pipelines for automated defect detection.
Microservices Orchestration
Managing multiple services including database, search engine, and APIs required robust orchestration.
Solution:
Architected containerized infrastructure with Docker, implementing service orchestration and health monitoring for system reliability.
Edge Device Communication
Establishing reliable real-time communication with edge devices for live monitoring was complex.
Solution:
Implemented WebSocket integration with performance metrics tracking, ensuring continuous monitoring and data visualization.
Project Gallery
Dashboard view showing document organization
Advanced search interface with filters
Dashboard view showing document organization
Advanced search interface with filters
Dashboard view showing document organization
Project Details
Timeline
Jan 2023 - Present
Company
Amrood Labs
My Role
Lead Frontend Developer
Technologies Used
Testimonial
Muhammad Junaid delivered exceptional work on our documentation platform. His technical expertise in Next.js and database optimization significantly improved our application's performance and user experience.
Alex Thompson
CTO at Exacto Tech