High Ticket Closing Agency Inc is developing a Minimal Viable Product (MVP) to empower small to mid-sized businesses by automating their social media management using artificial intelligence. The goal is to create an AI-powered tool that automatically generates, schedules, and posts engaging social media content, helping business owners and marketing teams reduce their social media workload.

Project Goals for Students:

• Apply knowledge of AI, software development, and digital marketing.

• Develop a product that increases user engagement, brand awareness, and business growth for clients.

Student Tasks and Activities:

• User Interface Design: Design a user-friendly interface for desktop and mobile that makes it easy for users to set up and manage their social media content.

• AI Content Generation: Develop or integrate AI algorithms capable of analyzing business-specific information and social media trends to generate relevant, on-brand content.

• Automated Posting System: Implement an automated scheduling and posting feature that publishes content across multiple social media platforms without manual input.

• Testing and Feedback: Conduct testing to ensure that the tool aligns with user expectations and gathers feedback to refine the MVP.

Expected Deliverables:

1. Functional MVP: A working MVP with a responsive UI, AI content generation capabilities, and an automated posting system.

2. Documentation: Clear documentation outlining the design process, AI algorithms used, and any data sources integrated for trend analysis.

3. Testing and Feedback Report: Insights gathered from testing the MVP, including areas for improvement and user feedback on usability and effectiveness.

Project Deliverables

Students are expected to complete a functional MVP that demonstrates the ability to generate and post social media content automatically. The key deliverables required to achieve this goal are:

1. User Interface (UI):

• A user-friendly interface for desktop and mobile that allows business owners to set up account preferences, define brand voice, and review generated content before posting.

• Deliverable: Interactive wireframes or prototype, along with a fully developed UI.

2. AI Content Generation Engine:

• An AI-powered module capable of generating engaging and brand-aligned social media posts based on the client’s business information and social media trends.

• Deliverable: A functioning AI model, with documented algorithms and sample outputs that demonstrate relevance and quality.

3. Automated Scheduling and Posting System:

• A backend system that automates scheduling and posting of generated content across popular social media platforms (e.g., Facebook, Instagram, Twitter, LinkedIn).

• Deliverable: A tested scheduling module that connects to APIs of target platforms, capable of posting on a set schedule.

4. Documentation and User Guide:

• Clear documentation detailing the system architecture, setup process, and usage guidelines for the business user.

• Deliverable: System architecture documentation, including user guidelines, installation steps, and troubleshooting tips.

5. Testing and Feedback Report:

• A report summarizing testing results, user feedback on the MVP’s functionality, and recommended improvements.

• Deliverable: User testing documentation, feedback analysis, and suggested changes to enhance user experience.