aritificalintelligence

This repository is dedicated to the detection of faults in electric motors through machine learning techniques, specifically utilizing the K-Nearest Neighbors (KNN) algorithm. It contains datasets, Python scripts, and accompanying documentation necessary for implementing and understanding the fault detection process.

The project above is a browser extension that uses machine learning to train a model with a user's browsing history data and use it to make a decision on granting or blocking permissions for websites.

High-precision local background removal using BiRefNet. A dual-mode CLI and Streamlit implementation designed for secure, high-resolution image processing without third-party data storage

Classify a breast cancer dataset via an SVM and clustering.

📌RAG-powered PDF chatbot that lets users chat with the contents of PDF documents using Retrieval-Augmented Generation (RAG) and LLMs. Built with a focus on document comprehension and conversational AI.

Detect phishing Attacks with the power of Artificial Intelligence and Deep Learning

Decentralised ownership for 100x AI-first creator

Using satellite imagery to detect house damages by utilizing CNN

It uses Vectorization; a basic AI algorithm (basically a mathematical formula); to match movie entered by the user and the dataset.

visualization of the execution of various AI pathfinding algorithms in real-time made for the course Artificial Intelligence (21CSC206T)

this is the solution for Artificial Intelligence in HackerRank ( For Python )

Gemini AI Integerated with Discord Bot

Built an intelligent assistant that analyzes real-estate data through natural language queries, generating insights and reports with dynamic SQL and Python code. Utilized LangChain for query handling, Google Maps API for location-based visualizations

VectorSearch with HNSW is a implementation of the Hierarchical Navigable Small World (HNSW) algorithm for efficient similarity search in high-dimensional vector spaces. This project demonstrates practical applications of approximate nearest neighbor search using the Fashion MNIST dataset, CIFAR-10 dataset as a case study.