MongoDB

"DentalClinicDB" hosts SQL scripts for creating and managing a dental clinic database in Oracle RDBMS to practice SQL, NoSQL queries, and PL/SQL programming, reinforcing relational database theories and learning to meet user needs effectively.

Краудфаундинг — платформа для благодійних зборів в Україні. Можна створювати й верифікувати проєкти, донатити через Monobank, відстежувати прогрес . Є тижневі челенджі з нагородами для спільноти. Мета — прозорість та легкий візуал

A ZIO interop library for reactivemongo

I developed a complete Human Gesture Recognition system based on AIoT technologies. I used the MetaMotionR wearable device, equipped with an accelerometer and a gyroscope, to collect real-time motion data. I then processed the raw signals through filtering, normalization, and segmentation techniques to create a clean and balanced dataset.

On top of this dataset, I trained machine learning models and neural networks capable of recognizing and classifying different hand and finger gestures with high accuracy. The final system enables automatic gesture recognition and can be applied in domains such as healthcare, industry, gaming, and automotive, providing natural and touchless interaction with technology.

Technical details:

MongoDB for storing, managing, and organizing the collected sensor data.

Data Engineering & Preprocessing: filtering (low-pass), normalization/standardization, segmentation into time windows, and optional dimensionality reduction with PCA.

Exploratory Data Analysis: visualization of raw and processed signals (accelerometer, gyroscope, combined 6-axis data) and dataset balance checking.

Machine Learning Models: applied both Support Vector Machines (SVM) for statistical learning and Neural Networks (mainly CNNs using TensorFlow) for deep learning.

Model Evaluation: confusion matrices, classification reports, and learning curves (accuracy, loss) to assess performance.

Hyperparameter Tuning: grid search and fine-tuning to improve model robustness.

Python Ecosystem: implemented with NumPy, SciPy, pandas, scikit-learn, TensorFlow, matplotlib, seaborn, ensuring reproducibility through a requirements.txt.

Apex Sigma: The Database Giant Discord Bot

Χωρικές Βάσεις Δεδομένων — κώδικας παραδειγμάτων. https://spatial-databases-book.gitlab.io

Nirmit Organic brings you 100% pure and natural products. Prepared using traditional village methods, our ghee, jaggery, grains, and honey are designed for both taste and health. Every product is free from additives and sourced directly from farmers, ensuring freshness and authenticity in every bite.

Backend Focus - Simple Shop Application

Backend Focus - REST API & GraphQL

Atlas Architect: Your AI Co-pilot for Secure Cloud Infrastructure

This project is an AI-powered DevSecOps agent that lives within GitLab. It proactively analyzes Infrastructure-as-Code (IaC) files, specifically Terraform, to automatically visualize, secure, and optimize a developer's Google Cloud architecture before it's ever deployed.

When a developer submits a Merge Request with Terraform changes, a CI/CD pipeline triggers the agent to post a detailed analysis back as a comment. This provides instant visibility and governance, helping teams build better, safer cloud infrastructure, faster.

Key Features:

AI-Powered Visualization: Generates architecture diagrams from Terraform code using Google's Vertex AI. Security & Cost Analysis: Identifies security vulnerabilities and cost inefficiencies based on best practices. Intelligent Remediation: Automatically suggests code changes to fix identified issues. Vector-Powered Knowledge Base: Uses a MongoDB Atlas Vector Search index of official Google Cloud documentation to provide highly relevant, context-aware explanations for its recommendations.

Core Technologies:

Platform: GitLab CI/CD, Google Cloud Platform (GCP), MongoDB Atlas Services: Google Cloud Run, Google Cloud Build, Google Vertex AI, MongoDB Atlas Vector Search Frameworks & Languages: Python, Flask, Gunicorn

Ecommerce de venta de alimentos balanceados para mascotas

A centralized remote filesystem solution for the teachers of Melchora Aquino Elementary School

BookMyCure is a full-stack web application designed to simplify and enhance the process of booking doctor appointments. It aims to make healthcare more accessible and efficient by connecting patients with healthcare providers through a seamless digital platform.

Frontend: https://bookmycure-frontend.onrender.com/

Admin Panel (Doctor Panel Included): https://bookmycure-admin.onrender.com/

A Python client library for the MongoDB Atlas Administration API

Scalable Node.js + TypeScript backend API for PlayArena with JWT auth, Google OAuth, MongoDB, Socket.io, and Redis. Supports real-time seat updates, booking, events, ground management, payments, analytics, and role-based access. Secure with middleware stack and Swagger docs.

Projeto desenvolvido para fins educacionais.

Mongoose-style ensure-index capabilities for the mongodb crate

This project/library contains common elements and clients related to database engines...