Ecommerce App

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Description

This project focuses on the development of a hybrid e-commerce platform, which includes both a mobile application and a web application. The platform is designed to provide users with efficient tools to manage purchases, sales and personal data, as well as security options and usage preferences.

Features

  • User Authentication: Secure login and registration functionality.
  • Shopping Cart: Add, remove, and update products in a shopping cart.
  • Wishlist: Save products to a wishlist for future purchase.
  • Search and Filtering: Advanced search and filtering options to find products easily.
  • Responsive Design: Optimized for mobile and desktop viewing.
  • User account management for buyers and sellers
  • Purchase and sales history

Technologies

  • Frontend: Android Studio with Kotlin
  • Version Control: GitHub
  • Design: Figma

Inventory — AI-powered Smart Pantry

Detect, name, classify, and store ingredients in Firebase

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GitHub YouTube

Features

  • Inventory Management: Add, delete, and view items.
  • Image Upload: Upload from files or capture directly from the camera.
  • Automatic Image Detection: Google Cloud Vision API extracts the item name from the image.
  • Recipe Suggestions: OpenAI API suggests recipes based on your pantry.

Technologies

  • React for UI
  • Material-UI for components
  • Firebase (Storage + Database)
  • Google Cloud Vision API (label detection)
  • OpenAI API (recipe suggestions)

Usage

  • Search Items: filter with the search field.
  • Add Items: “Add New Item” → upload image, take a photo, or use auto-detection.
  • Delete Items: “Remove” on any item card.
  • Recipe Suggestions: click the lightbulb icon to get ideas from your pantry.

EcoVentus: AI-Driven UAV Monitoring Platform

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GitHub

Description

EcoVentus is an advanced AI-powered platform designed to optimize UAV (Unmanned Aerial Vehicle) operations for industries like environmental monitoring, renewable energy, and agriculture. By combining real-time data collection, route planning, and analytics, EcoVentus enables precise, efficient, and sustainable solutions for monitoring and managing key resources.

The platform integrates a web-based interface to control and visualize UAV missions, leveraging artificial intelligence to detect patterns, analyze data, and support informed decision-making.

Features

  • Real-Time Monitoring: Visualize UAV flight paths and data collection in real-time.
  • Customizable Drone Configuration: Adjust parameters such as altitude, speed, and mission priority.
  • AI-Driven Insights: Automatically detect and analyze patterns in collected data.
  • Interactive Dashboard: View mission priority scores and flight times, download Waypoint (WP) files for custom UAV configurations, visualize routes on a detailed map.
  • Scalable Use Cases: Renewable energy, agriculture, and environmental assessment.

Technologies Used

  • Frontend: Next.js, React.js, CSS3, JavaScript, Leaflet.js, React Router, Google Fonts
  • Backend: Flask, Node.js, Python
  • Database: MongoDB
  • Cloud: Huawei Cloud

HoneyRoute — Apiary Intelligence Platform (Powered by EcoVentus)

AI-powered PWA for hive health detection and actionable recommendations

HoneyRoute onboarding
Login
Home
New hive
New apiary
Apiary Details - status
Apiary Details - history
Apiary Details - recommendations
Apiary Details - evidence
Analysis result
History
Alerts Details
Map
Settings
GitHub Demo

Description

HoneyRoute is a mobile-first Progressive Web App that empowers beekeepers to detect hive health risks using AI-based image analysis, receive smart recommendations, and log actions — even while offline. Designed for rural environments, it supports English and Spanish (ES-MX) and integrates a sustainability-oriented UX.

Developed as part of the Huawei Developer Competition LATAM 2025 (Brazil), HoneyRoute was recognized for its impact on sustainable agriculture and AI innovation in LATAM.

Features

  • AI Risk Detection: Capture hive photos and detect health or pest issues.
  • Actionable Recommendations: Step-by-step actions with “Done” tracking.
  • Alerts Inbox: Filter alerts by severity and resolve them quickly.
  • Hive Management: Create, view, and monitor hives with KPIs and history.
  • Offline Mode: Operate fully offline with background synchronization.
  • Bilingual Interface: EN/ES-MX with instant switch and accessible UI.

Technologies Used

  • Frontend: React.js, TypeScript, Tailwind CSS, Service Workers
  • Backend: Node.js, Supabase (comming soon), REST/GraphQL API
  • AI Integration: Custom vision API for hive health risk detection
  • Architecture: Offline-first with IndexedDB queue and background sync
  • Localization: i18n (EN base + ES-MX)

CongestionAI — AI-Powered Departure Advisor

Built for Hack-Nation Global AI Hackathon 2025 (Venture Track)

CongestionAI — Plan view
CongestionAI — Result advisor
CongestionAI — Risk window
CongestionAI — Departure Advisor Chart
CongestionAI — History
CongestionAI — Settings
GitHub

Description

CongestionAI is an AI-powered departure advisor that helps you decide when to leave, not just how to get there. It samples traffic over a time window, estimates ETA, risk, and potential savings, and then surfaces the best departure slot.

Built for the Hack-Nation Global AI Hackathon 2025 (Venture Track), the goal is to enable proactive, data-driven mobility decisions for drivers, city planners, and fleets.

Features

  • Plan: Origin/destination input (address, @lat,lng, or placeId) with tunables like window, step, budget mode, avoid tolls/highways.
  • Result: Best departure time with ETA, risk level, and “Don’t leave yet” / “OK to go” advisor.
  • Departure Advisor Chart: Custom SVG chart overlaying ETA over your window with risk-tinted background (green → red).
  • History: Save evaluations with baseline vs. savings (time, fuel, CO₂ / money), search, filters, pin/unpin, import/export JSON.
  • Settings: Map provider, units, country/city/locale, and savings model defaults (fuel price, consumption profiles, typical distance).

Technologies Used

  • Frontend: Next.js 15, React, TypeScript, Tailwind CSS
  • APIs: Google Routes API v2 for traffic-aware routing
  • Storage: Local/session storage for cache, settings, and history
  • Visualization: Custom SVG charts (no heavy chart libraries)

AzulRK Shop — Ecommerce Store

Complete online sales operation with Shopify & Zendrop integration

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Business Overview

AzulRK Shop is a fully operational ecommerce business built on Shopify, handling complete online sales workflows from product discovery to fulfillment. The store is configured to serve multiple markets across Mexico and North America, with integrated logistics through Zendrop.

Store Features

  • Product Management: Catalog with variations, detailed descriptions, images, and collections.
  • Multi-Market Support: Mexico + North America setup using Shopify Markets.
  • Zendrop Integration: Automated inventory and order fulfillment flows.
  • Complete Sales Funnel: Product discovery → cart → secure checkout → order tracking.
  • Customer Ops: Email notifications, order history, and customer account flows.
  • Analytics: UTM tracking + GA4 measurement for performance insights.

Platform & Tools

  • Platform: Shopify
  • Fulfillment: Zendrop
  • Markets: Mexico, United States, North America
  • Payments: Shopify Payments + alternative processors
  • Marketing/Tracking: GA4 + YouTube + Google Ads
Open Store

Upcoming Projects

  • Innovative Social App
    Currently in development: A platform focused on connecting users through shared values and soft skills, built using Swift.