📈 Stats & Showcase

📊 Contributions Github Commits

OCS Dashbaord

🎤 N@tM Presentation
Optivize was featured at Night at the Museum, where we demoed our AI platform to educators, parents, and peers. Visitors interacted with our chatbot, viewed live predictions, and tested the inventory interface.

Team Photo N@tM

🚀 Optivize: AI-Enhanced Business Platform
🔧 Backend Dev | 👥 Team Lead | 🏆 N@tM Showcase (June 2025)

🎯 Project Overview

Optivize is a fully deployed AI platform designed to streamline small business operations. Built in a HyFlex learning environment, this project emphasized real-world deployment, API integration, and team-based agile practices.

🧠 Type: HyFlex | Real-World Tool
🔗 NFT Credential: Chatbot + Sheets API Integration
📜 Microcredentials: Backend Dev • OAuth API • DevOps • Database Modeling
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🛠️ Technical Highlights

🔌 Backend & API Integration

I architected and implemented our core backend using Flask and SQLAlchemy:

  • Modular API services for inventory, chatbot, and sales prediction
  • Clean integration of chatbot with inventory and calendar APIs
  • Persistent user data and logs through relational DB schema

Chatbot API

📥 Google Sheets Import (OAuth)

I registered Optivize as a verified OAuth app and built a full Sheets integration flow:

  • Token authentication, scope handling, and callback processing
  • Custom parser to auto-detect inventory values and add them to the DB
  • Connected the import directly to chatbot and frontend views
  • Designed RESTful APIs for adding, updating, deleting items
  • Inventory data is tied directly into chatbot and prediction features
  • Integrated with Google Sheets import to auto-update stock levels

Google Sheets Import UI

🌐 Full Project Links

🔴 Live Frontend
💻 Frontend Repo
⚙️ Backend Repo
🧩 Issues
📋 Team Board

🧠 Reflection

Optivize let me turn advanced backend work into microcredentials, and the chatbot + Sheets importer were NFT-worthy contributions in our HyFlex learning environment.

This wasn’t just a school project. It was a production-level system. We learned how to build like engineers.