Social Media Analyzer - Pre Assignment

Designed With 😇 :

• Bootstrap
• Css
• Flask
• Py

This project leverages advanced AI models to analyze social media performance by comparing engagement metrics across different post types. It simplifies the decision-making process for content creators and marketers by providing concise, comparative insights.

Key features include:

• Integration with Langflow for dynamic workflow management.
• Data storage in DataStax Astra DB for high-performance querying.
• Engaging UI built with Flask for seamless user interaction.

This analyzer supports businesses and individuals in optimizing their social media strategies by identifying trends, improving engagement, and maximizing content impact.

GitHub Link 🔗

• https://github.com/CodeAx1avek/Social-Media-Analysis

Deploy Link 🔗

• https://www.securitysafe.news

Problem it solves 🙅‍♂️

• Content creators often struggle to understand which post types drive the most engagement on social media platforms. Manual analysis is time-consuming and lacks actionable insights. This project solves the problem by: Automatically fetching and analyzing engagement data. Delivering clear comparisons (e.g., "Carousel posts have 20% higher engagement than static posts"). Empowering users with data-driven recommendations to refine their social media strategies.

Challenges I ran into 🙅‍♂️

• Data Parsing Issues: Initially faced challenges in parsing social media engagement data accurately. Solved this by implementing robust data validation checks and using LangChain for structured processing. UI Responsiveness: Ensuring the Flask-based UI was responsive across all devices was challenging. Used Tailwind CSS for consistent styling and performance optimization. API Integration: Integrating the Groq API with Astra DB presented compatibility issues. Resolved this by designing custom middleware to handle API requests efficiently.