CreateFlow: AI-Driven Content Scheduling and Generation for Creators

Inspiration

CreateFlow was inspired by the pressure content creators face managing ideas, drafting, and posting across platforms, leading to burnout. I wanted to create a tool that helps creators focus on their craft while automating repetitive tasks using AI-driven agents and LLMs to streamline content creation and scheduling.

What We Learned

As a team, we explored LLMs for generating human-like text and AI agents for automating scheduling and trend analysis. We also learned to design a user-friendly dashboard for manual review due to challenges with social media API access.

What It Does

CreateFlow automates content generation based on user preferences (interest, type, keywords, frequency). It creates a content schedule, generates posts, and suggests future topics, all displayed on a dashboard for review and manual posting.

How We Built It

We used Python for the backend, Next.js for the dashboard, and the Gemini API to generate content. Fetch AI agents handle scheduling and topic suggestions, while the dashboard offers full control to users.

Challenges We Ran Into

API limitations for social media posting led us to build a manual dashboard. Ensuring AI-generated content was natural and engaging required fine-tuning language models.

Accomplishments

We successfully integrated AI to reduce mental load for creators, automating content generation while giving users control through the dashboard.

What's Next

We plan to integrate more platforms, enhance AI trend detection, and expand dashboard features, including analytics and automated posting as API access improves.