Abstract: This project presents an AI-enabled blogging platform designed to allow users to share blogs while ensuring safe and moderated content. The system includes three main users: public users, administrators, and government authorities. Public users can write and publish blogs along with images through a web interface. When a blog is submitted, the server processes the content using AI-based text moderation and image classification to detect abusive or inappropriate material.

If the content is safe, it is automatically published on the public blog page. If the system detects harmful content, the blog is flagged and sent to the administrator for review and approval. The platform also includes an AI commenting feature that generates automated feedback on blog posts.

Overall, the system improves content quality, user engagement, and responsible communication by integrating artificial intelligence with a modern blogging platform.

Keywords: Next.js, Blog Management System, User Authentication, PostgreSql, Server-Side Rendering, AI-Based Content Moderation, AI commenting, Image Classification, Web Security, Fast Api


Downloads: PDF | DOI: 10.17148/IARJSET.2026.13455

How to Cite:

[1] Sarthak Agarwal, Abhishek Singh Rajput, Devisha Agrawal, Indumathy. M, "Voxspace- A Platform for Every Voice," International Advanced Research Journal in Science, Engineering and Technology (IARJSET), DOI: 10.17148/IARJSET.2026.13455

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