Opporture provides AI-powered solutions for machine learning and computer vision, including content moderation, tagging, labeling, and data annotation. They approached Oodles to develop a web scraping tool for a news portal using third-party integration on the MEAN Stack, utilizing Connexun APIs. The project includes implementing a CI/CD pipeline for seamless updates, enhancing Opporture’s data acquisition capabilities.

Our goal for the project with Opporture is to develop a web scraping tool for a news portal using third-party service integration on the MEAN Stack. This tool will enable the extraction of data from various sources using Connexun APIs, providing valuable information for algorithms and models in machine learning and computer vision. Additionally, we will implement a CI/CD (Continuous Integration/Continuous Deployment) pipeline to ensure seamless updates and maintenance of the web scraping tool. Through these efforts, we aim to enhance Opporture's capabilities in data acquisition and provide a reliable and efficient solution for their news portal.

Our solution for this project encompassed the following services and technologies:

• Custom Web Scraping Tool: Developed using the MEAN Stack (MongoDB, Express.js, Angular, Node.js) for robust data extraction from news portals.
• Connexun API Integration: Fetched data from various sources, enhancing machine learning and computer vision algorithms.
• CI/CD Pipeline: Implemented Continuous Integration/Continuous Deployment to automate updates, ensuring smooth maintenance and reduced downtime.
• Enhanced Data Acquisition: Improved Opporture's ability to gather and utilize high-quality data for their news portal.
• Increased Efficiency and Reliability: Combined the MEAN Stack and automated deployment for a reliable, efficient solution.
• Key Achievements: Delivered a tool that supports Opporture's AI models, marking significant project milestones.