Open Source

OurSoS

Public Safety Mobile Application

A comprehensive public safety mobile application designed to help individuals in crisis situations. OurSoS serves as "Your lifeline in times of crisis" by providing real-time emergency alerts, multilingual support, and safety monitoring capabilities for friends and loved ones.

Key Features: Real-time updates on local emergencies, geolocation-based emergency filtering, multilingual accessibility for non-native English speakers, and safety monitoring system.

Tech Stack: Frontend built with Expo, TypeScript, and Tailwind; Backend powered by Golang; Data storage using Redis and PostgreSQL; Image hosting on Azure Blobs.

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Open Source

Bean Store

Smart Coffee Store with AI-Powered FAQ

A smart FAQ retrieval system for your favorite coffee store, powered by a RAG (Retrieval-Augmented Generation) model and Pinecone for cutting-edge natural language search. Features a personalized shopping experience through large language models and vector databases.

Key Features: Smart FAQ retrieval using RAG model and Pinecone for natural language search, personalized shopping experience, seamless integration with Stripe checkout, and AI-generated product images using DALL·E 3.

Tech Stack: Built with ReactJS, Tanstack, DALL·E 3; Secure and scalable architecture with SST and Hono framework.

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Migration Project

Concerts in Care

Event Management System

Successfully migrated a legacy Drupal website to a modern event management system built with GatsbyJS, ExpressJS, and MongoDB. This transformation significantly improved user experience and administrative efficiency for senior concert programming.

Impact: Reduced event setup time by 40% and enhanced the experience for seniors accessing concert information and scheduling.

Tech Stack: GatsbyJS for static site generation, ExpressJS backend, MongoDB database, modern responsive design.

Enterprise Solution

RAG AI Chatbot Plugin

Intelligent Customer Support

Engineered a sophisticated RAG (Retrieval-Augmented Generation) AI chatbot plugin using ReactJS, PHP, PineCone vector database, and OpenAI GPT-4. The solution provides automated, context-aware customer support for content-intensive websites.

Results: 80% reduction in response times and seamless integration with existing CMS platforms, enabling intelligent content retrieval and customer interaction.

Tech Stack: ReactJS frontend, PHP backend integration, PineCone vector database for semantic search, OpenAI GPT-4 for natural language processing.