AI Agent Automation for Business Efficiency

This project aims to develop and deploy modular, no-code/low-code AI Agents to streamline and automate workflows across various business functions at Actnovate Inc. By leveraging advanced automation platforms like n8n, Make.com, Manus.ai, and Relevance.ai, the project seeks to enhance operational efficiency in domains such as Sales, Marketing, Research, Finance, and more. The AI Agents will utilize technologies like workflow automation, data extraction, natural language processing, and decision trees to act as intelligent co-pilots. These agents will augment human performance by reducing repetitive tasks, thereby allowing employees to focus on more strategic activities. The project will provide learners with an opportunity to apply classroom knowledge in AI and automation to real-world business challenges.

Modular ERP System Enhancement

The goal of this project is to enhance and complete the development of a modular Enterprise Resource Planning (ERP) system tailored for small to medium-sized enterprises. Currently, the frontend is approximately 60% complete, utilizing modern web technologies such as React and Tailwind. The backend is being developed using Xano, a no-code platform, to manage APIs and business logic. Students will focus on implementing backend workflows for key ERP modules, ensuring seamless integration between the frontend and backend. They will also align the database schema with the frontend layout to ensure consistency and functionality. This project provides an opportunity for students to apply their classroom knowledge in a real-world setting, focusing on business logic creation, API integration, and database-driven development.

Business Brokerage Backend Development

This project focuses on developing the backend system for Actnovate Inc's Business Brokerage Platform. The frontend is currently in the planning phase, and the backend needs to be designed and developed from scratch. The primary goal is to create a robust, flexible, and scalable backend that will seamlessly integrate with the frontend and support future enhancements. The project involves designing a relational database schema, implementing business logic for key operations, and building RESTful API endpoints. The backend will support modules such as Time Tracking, Project Management, Employee Directory, and Leave Management. Students will gain hands-on experience in backend architecture, database modeling, and API development, applying classroom knowledge to real-world scenarios.

SEC Data Pipeline and Stock Screener

Actnovate Inc seeks to enhance its financial analytics offerings by developing a streamlined data pipeline that connects to the SEC's API. The goal is to extract relevant financial data and create a user-friendly stock screener that provides weekly stock recommendations to customers. This project will allow learners to apply their knowledge of data engineering, API integration, and financial analysis. The tasks include setting up the data pipeline, processing and filtering SEC data, and developing a basic algorithm for stock recommendations. The project is designed to be completed by a team of learners specializing in data science or a related field, ensuring they can leverage their skills effectively. The project is structured to be completed within 80 hours, focusing on practical application and teamwork.