TrendNest :Trend Based Content Generation Using AI Agents
Sudhanshu Jawanjal
Artificial Intelligence and Data Science
Department
New Horizon Institute of Technology and Management
Thane, India sudhanshujawanjal226@nhitm.ac.in
Harshada Kumbhar
Artificial Intelligence and Data Science Department
New Horizon Institute of Technology and Management
Thane, India
harshadakumbhar226@nhitm.ac.in
Sindhu Reddy
Artificial Intelligence and Data Science Department
New Horizon Institute of Technology and Management
Thane, India
sindhumogalreddy226@nhitm.ac.in
Mrs.Yojana Milind Dehankar
Assistant Professor
Artificial Intelligence and Data Science Department
New Horizon Institute of Technology and Management
Thane,India yojanadehankar@nhitm.ac.in
Abstract— Building and maintaining a consistent online presence is harder than it looks. Between chasing trending topics, scripting videos, designing eye-catching thumbnails, and writing SEO-friendly blog posts, most independent creators simply run out of hours in the day. TrendNest AI was built to tackle this problem directly. It is a full-stack web platform that pulls live trend data from Google Trends and then uses a combination of Groq’s Llama 3.3-70B and Google Gemini to automatically produce YouTube video scripts, thumbnail images, and structured blog posts—all from a single interface. Raw trend titles are often too vague to feed directly into a generation pipeline, so the system first enriches them with a short AI-generated summary before passing the context downstream. Finished assets are stored in PostgreSQL through Prisma ORM, and thumbnail images are offloaded to Cloudinary for fast CDN delivery. The whole thing runs on Next.js 15 with TypeScript and is locked behind NextAuth.js session authentication so that only logged-in users can trigger generation. In testing, script generation averaged under four seconds, blog articles came back fully structured with clean HTML previews, and thumbnails consistently matched the visual style requested. The net result is a platform that meaningfully cuts the time it takes a solo creator or small marketing team to go from “what’s trending today” to publish-ready content.
Keywords— content generation, generative AI, large language models, Google Trends, YouTube automation, SEO, Next.js, Retrieval- Augmented Generation
