A simple python OCR engine using opencv
Implementation of KNN algorithm in Python 3
A pure Python-implemented, lightweight, server-optional, multi-end compatible, vector database deployable locally or remotely.
Train, evaluate, and optimize implicit feedback-based recommender systems.
Serverless, lightweight, and fast vector database on top of DynamoDB
A look-alike model to identify potential clients based on certain characteristics from the existing customer base.
simple implementation of machine learning algorithm in pyhton
An implementation of the K-Nearest Neighbors algorithm from scratch using the Python programming language.
Information retrieval course project
Panorama Image Stitching from scratch using openCV 🖼️ 🪡
Using the Knn algorithm, it detects whether the tumor is benign or malignant in people diagnosed with breast cancer.
"Personalized Travel Planning System," uses a graphical user interface (GUI) to help users plan personalized travel experiences. It recommends tourist destinations based on user preferences and provides information about nearby places.
Applying Machine Learning techniques to identify randomly distorted capital letters in the English alphabet.
Helps in the analysis of plastics found in water bodies to track their uses to control water pollution
Final project of Web Technologies course. Electronic components stock manager for MMR Driverless Team.
create the search engine to retrieve the text documents. (the information retrieval course project)
This repository contains implementations of multiple KNN-based (Adaptive kNN and Graph-based kNN) SOTA algorithms.
Heart disease detection using different classifiers and neural network with feature engineering.
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