Social Lens-paradoxx

Designed With 😇 :

• Github
• Nextjs
• Tailwind

SocialLens Analytics is an advanced platform designed to deliver deep, actionable insights into your social media performance. By leveraging AI-driven analysis, it helps users understand their audience's behavior, identify content trends, and improve engagement strategies.

With features like content consumption tracking, engagement metrics (e.g., average likes, top-performing posts, least-engaged posts), and simplified AI-powered reports, SocialLens Analytics enables individuals and businesses to make data-driven decisions. The platform integrates seamlessly with social media accounts, offering an intuitive interface and clear, human-readable insights to enhance productivity.

GitHub Link 🔗

• https://github.com/chetandivekar/social-media-performance-analysis

Deploy Link 🔗

• https://paradox-social-analysis.vercel.app/

Problem it solves 🙅‍♂️

• 1: Content Consumption Analysis: Identifies patterns in what content works best for your audience. 2: Engagement Metrics: Analyzes average likes, most-liked posts, and least-liked posts. 3: AI-Driven Insights: Uses AI (GenAI, LangFlow) to generate human-readable, simplified reports for better decision-making.

Challenges I ran into 🙅‍♂️

• 1: Setting Up LangFlow and Using the JS API: Initially, setting up LangFlow and integrating it with the JS API was a challenge. To simplify the process, we decided to bypass LangFlow and directly utilize the LLM API for smoother integration. This allowed us to streamline the workflow and reduce complexity. 2: Database Integration with AstraDB: Integrating the AI-generated insights with AstraDB posed challenges, particularly in managing efficient data storage and retrieval. This was resolved by designing a robust schema tailored for storing AI output effectively. 3: Refactoring JavaScript Code: The existing codebase was written in a class-based format, which led to difficulties in maintaining and scaling the project. To overcome this, we refactored the code to a function-based structure, making it more modular, readable, and easier to manage.