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ysskrishna

Here are 16 public repositories matching this topic...

ai-support-bot

A full-stack chatbot application that uses RAGS to interact intelligently with users based on custom-loaded knowledgebases. It supports dynamic dataset loading for seamless updates. The chatbot’s language model is evaluated on relevance, accuracy, coherence, completeness, creativity, tone, and alignment with intent, ensuring high-quality chats

  • Updated May 12, 2025
  • Python
ai-math-tutor

An intelligent AI-Powered Math Tutor that delivers clear, step-by-step solutions to mathematical problems. Built with Streamlit for an intuitive and interactive interface, it integrates LangChain for seamless LLM workflows, leverages LangSmith for advanced observability and tracing, and ensures reliability with Pydantic’s type-safe data models.

  • Updated Oct 4, 2025
  • Python
ai-customer-feedback-analyzer

A powerful AI-powered customer feedback analyzer built with Streamlit. Features intelligent sentiment analysis, actionable item extraction, and structured feedback insights using OpenAI's Structured Outputs with Pydantic models. Perfect for businesses seeking to analyze their customer feedback

  • Updated Sep 29, 2025
  • Python
express-fastapi-performance-test

A comprehensive performance benchmark comparing FastAPI (sync vs. async) and Express.js. This project uses Artillery.io to simulate various real-world load testing scenarios (read/write-heavy, stress, spike) in a controlled Docker environment. It provides automated scripts, detailed performance reports, and a Looker Studio to visualize results.

  • Updated Jun 23, 2025
  • Python
fastapi-supabase-starter

A starter template for building secure and scalable FastAPI applications with Supabase authentication integration. This template provides a solid foundation for modern web applications, combining the power of FastAPI's high-performance framework with Supabase's robust authentication system.

  • Updated Jun 8, 2025
  • Python
email-audit-service

A service to evaluate the quality and compliance of email communication between company employees and external customers. The service processes email threads (.eml format) and applies a flexible rules engine to audit them, providing detailed feedback with scoring and justifications.

  • Updated Jun 19, 2025
  • Python

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