Social Media Analytics Dashboard Development by Leela Venkatesh AtchuthaSocial Media Analytics Dashboard Development by Leela Venkatesh Atchutha

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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