~kr

Aisle Guard is a lightweight, end-to-end computer vision system for detecting and logging potential shoplifting events from retail camera footage.

SnapSynapse is a smart tool that turns customer calls into concise insights by transcribing conversations, identifying speakers, and highlighting key themes and sentiments. With Pyannote, Whisper, and Gemini models, it empowers support teams to understand customer needs effortlessly and enhance service with meaningful summaries.

This agentic system automatically generates high-quality technical blog posts by analyzing your GitHub repositories. Built using Langgraph, Langchain and Llama!

This is a comprehensive project focused on understanding and predicting customer churn in the telecommunications industry. Utilizing advanced data analysis and machine learning techniques, this project aims to provide insights into customer behavior and help develop effective strategies for customer retention.

This repo shows how to build a neural network from scratch, using just math, numpy and python

A RAG-based chatbot for Kristu Jayanti College, using FAISS Vector DB and LLMs to provide accurate and concise answers for the queries regarding college. It utilizes sentence embeddings for efficient information retrieval and generates responses using Groq’s Llama-3.3-70B model.