Ai Based Content Planner

Tech

Python, Django, NLTK, GenAI, PostgreSQL, SQLite, TailwindCSS, Hugging Face Transformers

Abstract

This project is a GenAI-based content planning web application built using Python, Django, and NLTK. It enables authenticated users to collaboratively manage, analyze, and schedule content across platforms. The tool leverages NLP and AI to suggest, enhance, and optimize content ideas based on audience interest, SEO, and engagement trends, ensuring maximum reach and consistency.

Keywords

Content Planning, GenAI, Django, Python, NLTK, NLP, Auth, SEO, Content Strategy, Multi-user Collaboration, AI Text Generation, Smart Scheduler, Trend Prediction, Open Source

Project Description

This project aims to provide a centralized, AI-driven platform that helps users ideate, plan, and publish content effectively while adapting to changing digital trends and audience behavior. The system supports multi-user collaboration, allowing admins, editors, and contributors to manage content efficiently. GenAI APIs are used for automated content generation, keyword suggestion, and topic expansion. NLTK enhances the platform by offering sentiment analysis, topic modeling, and content scoring. The frontend is kept minimal using Django templates and optionally styled with TailwindCSS. All data including content pipelines, user roles, and plans are stored securely in PostgreSQL or SQLite databases. This solution is designed to help individuals and teams improve content workflows and output quality.

Project Features

• User Authentication & Role Management
• AI-Powered Content Ideation
• NLP-Based Sentiment & Topic Analysis
• Smart Content Calendar
• Trend Prediction
• Multi-user Collaboration
• Export Content Plans (PDF, CSV)
• AI Suggestion Engine
• Notifications & Content Deadlines
• Custom Tags and Categories
• Editor with Version History

Specifications

• Hardware components: None required (Web-based project)
• Software components: Python, Django, NLTK, GenAI, TailwindCSS, PostgreSQL or SQLite

Report Contents

• Components List (BOM: Bill of Material)
• Block Diagram
• Flow Chart
• Components: Name, Images, Details
• Circuit Diagram
• Problem Statement
• Abstract
• Introduction
• Methodology
• Challenges and Solutions
• Performance Analysis
• Advantages
• Limitation
• Application
• Future Scope
• Conclusion
• Output Images
• Project Deliverables
• Project Hardware
• Project Report
• Project Simulation