Vantage Point Tree implementation in Python 🌳

An image similarity search engine has been developed that finds images similar to the image selected by the user from the dataset provided by the user. The latent vectors of the images are generated by a CNN based autoencoder model. KNN is used to find images similar to the selected image. An image similarity search engine platform has been created

VectorizeDB is a database for vectorized data and metadata, allowing for fast similarity search and retrieval.

A project based off of the multiple vehicle routing problem with time windows and constraints.

Generates efficient package delivery routes, employing the nearest neighbor algorithm for on-time deliveries. Features real-time tracking, dynamic rerouting, and scalable infrastructure.

Vector space modeling of MovieLens & IMDB movie data

Algorithms Project for Oregon State University

Plataforma de recomendação "Point Leads" para empresas, criada com streamlit e heroku.

It is a movie recommendation system that uses collaborative filtering and matrix factorization to suggest personalized movies. It features an interactive Streamlit UI, making it easy for users to find movies tailored to their tastes. The system analyzes a rich dataset of movie ratings and metadata to provide accurate recommendations.

Projeto em Python do algoritmo do caixeiro viajante para disciplina de grafos. Algoritmos de força bruta e vizinho mais próximo.

Second Attempt for a project involving the use of algorithms for a business solution, package delivery tracker.

ultra fast, thread and process safe, easily queryable Indexes for Python.

Search nearby restaurant with pincode and Km

A 2020 University Project.

A foundational Geographic Information System project developed in Python, demonstrating basic GIS operations like handling spatial data, triangulation, and spatial analysis. This archived project serves as an early career milestone and a resource for those new to GIS programming.

Network-based Nearest Neighbor Indexer

Using python, implemented the nearest neighbor algorithm to deliver package objects all over a city while handling special constraints. Allows for users to upload of their own city, distance, and package data via csv files. Utilizes a self-adjusting data structure (chaining hash table) to hold the data. Implemented a CLI for user interaction.

Sort the search results of Shotit to increase the correctness of Top1 result by using Keras and Faiss.

A nearest neighbor algorithm approach to the traveling salesman problem using python.

Classification implementation