Collaborators
shahidlandge
@shahidlandge
Rohan Gaude
@gauderohan44956
Dattesh Nagekar
@datteshnagekar76672490
AnalytIQ - A Social Media Analyzer
Analytics Meets Chat Intelligence
Designed With π :
- Css
- Github
- Nextjs
- Tailwind
- Vercel
AnalytIQΒ is an intelligent tool designed to simplify social media analytics and empower creators and brands to make smarter, data-driven decisions. Developed as part of our pre-hackathon project for the Level Supermind Hackathon, AnalytIQ bridges the gap between complex data and simple, actionable insights.
GitHub Link π
Deploy Link π
Problem it solves π ββοΈ
- Social media platforms generate massive amounts of data that can be overwhelming to analyze. AnalytIQ addresses this problem by using intelligence to interpret and present this data, making it accessible and actionable for everyone.
Challenges I ran into π ββοΈ
- During the development of the project, we encountered several challenges and overcame them as follows: 1. **Storing Chat Memory Using Langflow Components:** Initially, managing chat memory effectively was difficult. After exploring various configuration options and understanding Langflow's architecture, we successfully integrated components to ensure seamless memory storage and retrieval. 2. **Formatting User Post Data:** It took time to determine the correct format for fetching and processing user post data. By creating dynamic workflows and validating data structures, we ensured accurate and efficient data handling. 3. **Displaying Graph Data on Response:** Rendering graph data in the required format on the UI presented initial challenges. We resolved this by customizing chart components and optimizing data transformations to match frontend requirements, ensuring accurate and visually appealing graph representations.
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