Splore AI

Designed With 😇 :

• Css
• JavaScript
• Nodejs
• Py
• React

SploreAI is an AI-powered social media analytics platform designed to help users gain actionable insights from their engagement data. By integrating Langflow with DataStax Astra DB and a GPT agent, SploreAI enables users to easily analyze their social media performance through interactive chats, visual dashboards, and comprehensive PDF reports. The platform provides insightful strategies, sentiment analysis, engagement predictions, and allows users to upload CSV files to enhance the insights, empowering businesses to optimize their social media presence and boost audience engagement.

GitHub Link 🔗

• https://github.com/Sarang9975/supermind_hackathon

Deploy Link 🔗

• https://supermind-hackathon-eta.vercel.app/

Problem it solves 🙅‍♂️

• SploreAI bridges the gap between raw social media data and meaningful insights by providing a smart, AI-powered solution to: Identify top-performing posts and content strategies Understand user sentiment through advanced analysis Predict engagement trends using historical data Save time by automating data analysis and insight generation Enable smarter decision-making with visual dashboards and comprehensive PDF reports In short, SploreAI transforms complex social media data into easy-to-understand insights, empowering users to make data-driven decisions and improve their social media performance.

Challenges I ran into 🙅‍♂️

• We faced several challenges while building SploreAI. Integrating DataStax Astra DB with Langflow required optimizing queries to handle large datasets efficiently. Crafting effective GPT prompts to generate actionable insights, processing unstructured social media data, and creating comprehensive PDF reports were tricky. Balancing functionality with user experience was another hurdle, ensuring the platform remained powerful yet intuitive. Through continuous testing and iterations, we overcame these challenges to deliver a seamless solution.