Social Wizard

Table of Contents

• Project
  • Table of Contents
  • About The Project
  • Demo
  • Tech Stack
  • File Structure
  • Getting started
  • Screenshots of Website
  • Future Scope
  • Contributors
  • License

About

The project aims to create an AI-powered tool to assist small businesses in developing effective social media marketing campaigns. The tool analyzes target audience demographics, suggests personalized content, optimizes posting schedules for maximum engagement, and tracks campaign performance in real-time.

Features:

• Audience Analysis: Utilize AI to analyze target audience demographics, psychographics, and behaviors.
• Content Suggestions: Provide personalized content suggestions, including text, images, and hashtags, based on audience analysis.
• Posting Schedule Optimization: Recommend optimal times and frequencies for posting on various social media platforms to maximize engagement.
• Performance Tracking: Track campaign performance in real-time and offer insights for improvement.

Demo

Screencast-from-23-03-24-12_18_27-PM-IST.mp4

Tech Stack

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File Structure

👨‍💻Social-Wizard
 ┣ 📂assets                            // Contains all the reference gifs, images
 ┣ 📂frontend                          // Client side       
 ┃ ┃ ┣ 📂src                                       
 ┃ ┃ ┃ ┣ 📄App.js
 ┃ ┃ ┣ 📂public 
 ┃ ┃ ┣ 📄index.html
 ┣ 📂backend                           // Server side
 ┃ ┣ 📄local_setup.sh
 ┃ ┣ 📄local_run.sh
 ┃ ┣ 📄analysis.py
 ┃ ┣ 📄gemini.py
 ┃ ┣ 📄generator.py
 ┃ ┣ 📄image_gen.py
 ┃ ┣ 📄README.md 
 ┃ ┣ 📄requirements.txt      
 ┣ 📄README.md
 ┣ 📄Social Media Campaign Management.pptx

Getting Started

Installation

Clone the project by typing the following command in your Terminal/CommandPrompt

git clone https://github.com/PritK99/Social-Wizard

Navigate to the Social Wizard folder

cd Social-Wizard

Frontend

Open a new terminal in root folder and navigate to the client folder

cd frontend

Install all the required dependencies

npm i

To run the frontend

npm run dev

Once the above command is executed, the frontend will be running at localhost:5713. You can visit http://localhost:5713/ to view the website.

Backend

If you are using Linux Operating System, you can run the backend simply by running the shell script as given below.

chmod +x local_setup.sh

chmod +x local_run.sh

./local_setup.sh

Next, set the below 3 environment variables using EXPORT command in local_run.sh file using your own API keys:

EXPORT GEMINI_API_KEY = 

EXPORT UNSPLASH_ACCESS_KEY = 

EXPORT RAPID_API_KEY = 

./local_run.sh

For Windows and Other Systems

cd backend

Create a virtual environment to install all the dependencies

python -m venv socialwiz

Activate the virtual environment

For Windows: socialwiz\Scripts\activate

For Linux: source socialwiz/bin/activate

Install all the required dependencies

pip install -r requirements.txt

Next, set the below 3 environment variables using SET command using your own API keys:

SET GEMINI_API_KEY = 

SET UNSPLASH_ACCESS_KEY = 

SET RAPID_API_KEY = 

To run the backend

python main.py

Screenshots of the Website

• Home Page

  

• Audience Analysis

  

  

• Content Generation

  

• Performance Metrics

  

Contributors

• Pranav Shukla
• Prit Kanadiya
• Raghav Agarwal
• Vedant Nimje

Future Scope

• Market Analysis: Analyze the data from various different platforms and showcase the growth in engagement , likes and overall reach.

• Optimal posting method: Using Reinforcement Learning to determine best time for posting content across different platforms.

• Auto scheduling: Building a scheduler which automatically schedules post at different time intervals

References

• Gemini API for content generation.
• Unsplash API for image generation from text.
• Rapid API for data collection from twitter (rebranded as X)

License

MIT License