AI Social Media Content Studio — Automated Caption & Hashtag Generator Final Year Project

Name: AI Social Media Content Studio — Automated Caption & Hashtag Generator Final Year Project
Price: 499 INR
Availability: InStock
Author: CodeAj

An AI-powered Django and Next.js final year project that generates platform-ready social media captions and hashtags from a single topic using the Groq LLaMA API.

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Project Files

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The AI Social Media Content Studio is a full-stack final year project built for students who want to demonstrate a real, working application of large language models rather than a toy chatbot demo. The system takes a topic or product idea as input and instantly produces platform-specific captions for Instagram, LinkedIn, Twitter, and YouTube, along with relevant hashtags, using the Groq LLaMA 3.3 API for text generation.

Project Features

Topic-to-caption generation across four major social platforms with tone control (professional, casual, promotional, informative)
Automatic hashtag suggestions tailored to the input topic
Content history dashboard with save, favorite, and delete functionality
Analytics view showing platform-wise and tone-wise generation stats using interactive charts
One-click CSV export of all generated content
Optional branded caption card generator built with Pillow for direct social media use

Applications

This project applies directly to small business marketing automation, personal branding tools, social media management agencies, and student portfolio demonstrations of applied NLP. It also works well as a base for a research paper on transformer-based content generation, since the architecture cleanly separates the AI service layer from the web application.

Who It's For

Built for BCA, MCA, BTech CSE, and BSc IT students who want an AI/ML final year project that goes beyond a Jupyter notebook and includes a proper deployable web application with a REST API backend and a modern frontend. It also suits students preparing for a viva where they need to explain both the AI integration and full-stack architecture with confidence.

Why Choose This Project

Unlike single-file AI scripts, this project ships as a complete Django REST Framework backend paired with a Next.js frontend, mirroring how real-world AI products are structured. Students who want a closely related but visually different AI/ML project can also check our AI-Powered Career Guidance System or browse the full AI/ML project category for more Groq and Gemini powered builds, including our College AI Chatbot project.

Frequently Asked Questions

You will get the complete source code along with an installation guide and chat support to help you set up and understand the project.

All our projects are thoroughly tested multiple times, so the code is completely error-free. But in case you still face any issue, you can reach out to us on WhatsApp (+91 8603862290) and we will fix it and provide you the updated code.

You can book a 1-on-1 Setup & Explanation Session where we connect via AnyDesk and Google Meet, set up the project on your laptop, and explain the complete code working and flow.

No, you cannot re-sell the project. This is completely illegal and a violation of our terms. If we find any such activity, we will take legal action.

It is a Django and Next.js final year project that uses the Groq LLaMA API to automatically generate social media captions and hashtags for Instagram, LinkedIn, Twitter, and YouTube from a single topic input.

The backend uses Django and Django REST Framework with SQLite, the frontend uses Next.js with Tailwind CSS and Recharts, and AI content generation is powered by the Groq LLaMA 3.3 API.

Yes, it includes a full REST API backend, a modern frontend, an analytics dashboard, and a clear AI integration layer, making it well suited for BCA, MCA, BTech CSE, and BSc IT final year evaluation.

The project uses the Groq API, which offers a free tier suitable for development and demo purposes, so no paid subscription is required to run and present the project.

Yes, a pre-built project report is included with the purchase, and custom report or research paper writing is available as an add-on service if your college requires a specific format.

Yes, CodeAj offers a paid project setup and code explanation session where the entire codebase is installed and explained on a live call.

Yes, the separation between the AI service layer and the web application makes it a good base for a research paper on transformer-based or LLM-based content generation, and CodeAj also offers research paper writing and publishing assistance.