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AI-Powered Social Media Content Generator

A Python-based platform that leverages AI (GPT-3) to automatically generate social media content, suggest relevant hashtags, and predict engagement for posts, helping marketers enhance their online presence efficiently.

PythonFlaskGPT-3 APIPandasNumPyJavaScriptBootstrapREST APIs
8 technologies
Updated 07/2023
Full-stack Application

AI-Powered Social Media Content Generator

Next cohort starts: 22-11-2025

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Project Architecture

Comprehensive overview of the project architecture, features, and development process with modern design patterns

Project Features

Discover the comprehensive feature set that powers this application

Core Features

Auto-generate social media posts based on input prompts
Hashtag recommendations to maximize reach
Role-based access for Admin and Marketer
Dashboard to manage generated posts
Save and schedule posts for multiple platforms
Exportable content and reports (CSV/PDF)

Operational Features

Content quality and engagement scoring
Analyze historical performance of posts
Multi-platform support (Twitter, Instagram, LinkedIn)
Post preview before publishing
Notifications for scheduled post reminders

Analytics & Reporting

Predicted engagement metrics (likes, shares, comments)
Content performance tracking over time
Hashtag usage and reach analysis
AI-driven recommendations for improving engagement

System Architecture

Explore the technical foundation and architectural decisions

Frontend Architecture

Framework

Flask Templates (HTML/CSS/JS)

State Management

Flask Context & Client-side JS

Charts Library

Chart.js / Plotly for engagement visualization

AI Integration

GPT-3 API for content generation

UI Libraries

BootstrapChart.js

Backend Architecture

Framework

Flask

Database

PostgreSQL / SQLite

Authentication

Flask-Login / JWT

Real-time Communication

AJAX polling

AI Services

Content Generation

GPT-3 API

Engagement Prediction

ML-based predictive scoring models

Development Phases

Strategic roadmap for project implementation and delivery

1

Project Setup & Authentication

1 week
Initialize Flask project and database
Implement user authentication and role-based access
Create models for posts, hashtags, and engagement metrics
Build basic UI for dashboard and post management
2

AI Integration & Content Generation

2-3 weeks
Integrate GPT-3 API for post generation
Implement hashtag recommendation engine
Develop engagement prediction module
Store generated posts and metrics in database
3

Dashboard & Reporting

1-2 weeks
Visualize predicted engagement and content performance
Add post scheduling and preview functionality
Generate downloadable content and analytics reports
Implement notifications for scheduled posts
4

Testing & Optimization

1 week
Unit and integration testing for backend and AI modules
Validate content generation and engagement prediction accuracy
Optimize dashboard performance and API response times
Conduct end-to-end testing of user workflows

API Endpoints

RESTful API structure and endpoint organization

Authentication

Register User

POST /api/auth/register

Login

POST /api/auth/login

Get User Profile

GET /api/auth/me

Posts

Generate Post

POST /api/posts/generate

Get Post By ID

GET /api/posts/:id

Get All Posts

GET /api/posts

Schedule Post

POST /api/posts/schedule

Analytics

Predict Engagement

POST /api/analytics/predict

Get Engagement Reports

GET /api/analytics/report/:postId

Notifications

Send Email Notification

POST /api/notifications/email

Testing Strategy

Comprehensive quality assurance and testing methodologies

Unit Testing

pytest
unittest

Integration Testing

Flask Testing Framework
Postman

End-to-End Testing

Selenium
Cypress

AI Testing

Validate GPT-3 generated content quality
Accuracy of engagement prediction models

Deployment Strategy

Production deployment and infrastructure management

Frontend

Heroku / Vercel

Backend

AWS EC2 / Heroku

Database

PostgreSQL / SQLite

CI/CD

GitHub Actions

Future Enhancements

Roadmap for upcoming features and improvements

Multi-platform posting integration (Instagram, LinkedIn, Twitter)
AI-driven content tone and style adjustment
Trending hashtag analysis using NLP
Advanced analytics with historical post performance
Multi-language content generation