Social Media Analytics Dashboard Development

Leela Venkatesh Atchutha

Backend Engineer

Web Developer

Django

Django REST framework

PostgreSQL

Social Media

📊 Social Media Analytics Dashboard

A Django REST Framework–based application for analyzing social media posts. The app extracts post data, runs sentiment analysis, and provides engagement insights.

🚀 Features

Sentiment analysis of social media posts (positive/negative/neutral).

Engagement tracking (likes, shares, comments).

REST API endpoints to fetch and analyze posts.

Extendable to multiple platforms (Twitter, Instagram, LinkedIn, etc.).

Simple dashboard UI (optional).

🛠️ Tech Stack

Backend: Django, Django REST Framework

Analytics: TextBlob (sentiment analysis)

Database: SQLite (default) / PostgreSQL

Frontend (optional): React / any REST client

Language: Python 3.x

📂 Project Setup

1️⃣ Clone the Repository

git clone https://github.com/yourusername/social-media-analytics-dashboard.git
cd social-media-analytics-dashboard

### 2️⃣ Create & Activate Virtual Environment
# Create venv
python -m venv venv

# Activate (Linux/Mac)
source venv/bin/activate

# Activate (Windows - Command Prompt)
venv\Scripts\activate

# Activate (Windows - PowerShell)
venv\Scripts\Activate.ps1

### 3️⃣ Install Dependencies
pip install -r requirements.txt

### 4️⃣ Run Migrations
python manage.py makemigrations
python manage.py migrate

### 5️⃣ Create Superuser 
python manage.py createsuperuser

### 6️⃣ Start the Server
python manage.py runserver


Now open: 👉 http://127.0.0.1:8000/api/

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Posted Sep 21, 2025

Developed a Django-based app for social media analytics.

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