Social Scope

Designed With 😇 :

• Css
• Git
• Github
• Html
• JavaScript
• Nextjs
• React
• Vscode

This is a Social Media Performance Analytics Tools that enables users to receive insights regarding the Different Types of posts a user has made in their account. It provides comparison of engagement metrics of different types of posts like ( Reels, Video, Static, Story etc. ) which are based on parameters like average like, shares, follows, saves etc. This enables the user to decide what type of post they should be uploading for achieving more reach and make their social media account perform better.

- 🤖 Integrates Langflow to generate insightful recommendations using GPT.
- 🌐 Utilizes DataStax Astra DB for storing and querying engagement data.
- ⚡ Built with Next.js for a fast, dynamic web experience.
- 🎨 Styled with Tailwind CSS for a modern and responsive UI.
- 🛠 Incorporates advanced local storage handling for saving user responses.

GitHub Link 🔗

• https://github.com/Kr-Gagandeo1025/SM-SocialMediaAnalysis

Deploy Link 🔗

• https://project-social-scope.vercel.app/

Problem it solves 🙅‍♂️

• A lot of people face difficulty to analyze the performance of their social media accounts regarding insights like what type of content gets more reach, like, shares etc. Our tool enables them to understand the metrics in more simplified manner and with help of GPT integration, DataStax AstraDB and Langflow Vector Store RAG user can talk to their data, performance metrics and understand it better.

Challenges I ran into 🙅‍♂️

• We faced some issues while learning the Langflow flow creation as it had a learning curve and also it was fairly a new thing to us. We also had to work around the Langflow JS API to make it more better and optimized to integrate it with Next.JS One of our DataStax DB stopped working out of nowhere because of some technical glitch so had to make a new DB.