CONTEXIA: Docs to Social Media Content in Seconds (Built with NextJS, Django, and GPT-4)

I'm excited to share **CONTEXIA**, a powerful AI-driven content generation tool my team and I built for a buildathon. Our goal was to simplify the process of creating content for multiple social media platforms by transforming various source materials into tailored posts.

**Project Overview:**
In CONTEXIA, which we refer to internally as the "Content Lab," I can input content by uploading documents (PDF, DOCX, PPT, TXT), pasting raw text, or providing website URLs (like blogs or web pages). The core of the tool uses AI to automatically extract the data and transform it into high-quality, platform-specific content.

**Key Features & Functionality:**

- **Input Flexibility (The Content Lab):** I can upload files (PDF, DOCX, PPT, TXT), paste textual content, or use a website URL. I also mention that while I can ask the system to upload up to four images, that feature isn't working right now because we're out of tokens for image editing.
- **AI Engine:** We integrated OpenAI, specifically using the **GPT-4** model, to analyze the input content and current social media trends for generation.
- **Platform-Specific Content Output:**
- **LinkedIn:** Generates professional posts.
- **Twitter:** Automatically creates multiple threads.
- **YouTube:** Generates a complete video script, including title, description, suggested sound effects, and visual effects. We analyze scripting trends to provide these suggestions.
- **Blog:** Produces a full blog post. I can copy the plain text or the HTML content, which includes proper formatting tags (like H1 for headings and **bold** tags).
- **Email:** Creates a full newsletter-ready email, including a subject line, with options to copy both plain text and HTML.
- **Trend Analysis:** The content generation is based on analyzing the top posts and trends for each platform to maximize impressions and engagement.
- **Account Connection & Scheduling:** I explain that I can connect my LinkedIn and Twitter accounts using an **OAuth system**, assuring that the data is completely encrypted. Once fully operational, this will allow me to directly post or schedule content from within the application.
- **Content Customization (Settings):** This is a crucial part. I can define my brand identity, my targeted audience (e.g., "tech enthusiast students"), and a specific **Brand Voice** (e.g., "professional yet conversational," "authoritative but humble"). By customizing this prompt, the AI ensures the generated content matches my personal writing style and tone.

**Technology Stack:**

- **Frontend:** Next.js
- **Backend:** Django (Python)
- **Database:** PostgreSQL (using supabase)
- **Authentication:** NextAuth (using JWT tokens)
- **Animations:** Framework Motion (React)
- **Job Queue/Workers:** We use a Redis server to initialize query workers, which manages separate jobs for each platform (LinkedIn, Twitter, YouTube, etc.) after I click "Generate."

**Current Limitations (as shown in the video):**

- **Analytics Page:** This section, intended to show impressions, average engagement, total likes, and performance reports from LinkedIn and Twitter, is currently non-functional.
- **Direct Posting/Scheduling:** The feature to directly post or schedule content to LinkedIn and Twitter is not working.

I clarify that these features are limited because I'm currently running the website locally without a fixed IP address. This prevents the necessary authentication and data exchange with LinkedIn and Twitter, which require a fixed callback endpoint for the OAuth system. Once I host the application on a proper server with a fixed IP address, these functions and the analytics page will become fully operational.

The video demonstrates the complete generation flow: I upload a PDF ("Forward Learning Workbook"), click "Generate Content for All Platform," and then show the automatically created, platform-optimized content for LinkedIn, Twitter, YouTube, Blog, and Email.

\#CONTEXIA \#AIContentGeneration \#NextJS \#Django \#GPT4 \#SocialMediaAutomation \#Buildathon

Видео CONTEXIA: Docs to Social Media Content in Seconds (Built with NextJS, Django, and GPT-4) канала MOON PHOENIX