Yeti Ai

Designed With 😇 :

• Express
• JavaScript
• Py
• React
• Tailwind

Yeti AI Bot is a state-of-the-art social media performance analyzer that leverages cutting-edge AI/ML technologies. By integrating LangFlow, GPT, Astra DB, and a modern frontend, it provides actionable insights to optimize social media strategies effortlessly.

Key Features:

• AI/ML Workflow with GPT:
  Designed using LangFlow and enhanced with GPT to deliver deep natural language insights. An API was generated for seamless backend integration.
• Mock Social Media Data:
  Engagement metrics were stored and managed in Astra DB, enabling fast and efficient data access for training.
• Model Training & Real-Time Integration:
  The GPT-powered model was trained with mock data and connected via LangFlow’s API to provide real-time predictions and insights.
• Interactive Frontend:
  Developed a sleek, user-friendly interface using React and Tailwind CSS to display performance metrics and AI-generated suggestions.
• Smooth API Connectivity:
  Achieved seamless communication between the frontend and LangFlow model, ensuring a smooth user experience.

Use Case:

Yeti AI Bot simplifies social media analytics by helping users understand performance metrics, predict trends, and optimize their content strategies for better engagement and reach.

Technologies Used:

• LangFlow + GPT: AI/ML workflows and advanced natural language processing.
• Astra DB
• React & Tailwind CSS: A modern and responsive user interface for an intuitive experience.

Yeti AI Bot redefines social media analytics, making data-driven decision-making simple, efficient, and accessible to influencers, marketers, and businesses.

GitHub Link 🔗

• https://github.com/Lakshya0000/YETI_PROJECT/

Deploy Link 🔗

• https://yeti-project.vercel.app/

Problem it solves 🙅‍♂️

• Yeti AI Bot helps users tackle common social media challenges: Understanding Performance:- Users often struggle to know why their posts perform well or poorly.The bot analyzes metrics like likes, comments, and shares to provide clear performance insights. Improving Engagement:- It suggests ways to boost audience interaction based on past trends and content types. Predicting Trends:- The bot uses AI to predict what type of content will work better in the future, helping users plan smarter strategies. Saving Time:- Instead of manually analyzing data, Yeti AI Bot provides quick, automated insights, making the process faster and more accurate. It’s a practical tool for influencers, marketers, or businesses aiming to optimize their social media presence without complex manual analysis.

Challenges I ran into 🙅‍♂️

• While working on the Yeti AI Bot project, we faced several challenges. Since LangFlow was new to us, it was initially difficult to understand and adapt to its interface and functionality. To overcome this, we spent time studying its documentation and gradually learned how to create a proper AI/ML flow. Another major challenge was connecting the LangFlow API with our frontend, as it caused CORS errors when fetching the API directly. To resolve this, we created a backend server and used Axios to call the API through the server, which allowed smooth communication between the frontend and backend.