# MongoDB Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/mongodb
> Markdown URL: https://aitinkerers.org/technologies/mongodb.md
> Technology record last updated: 2026-09-18T15:13:45Z
> Generated: 2026-09-20T14:47:39Z

MongoDB is the leading NoSQL document database: it stores data in flexible, JSON-like BSON documents for high performance and rapid iteration.

MongoDB operates as a source-available, cross-platform document database, a core component of the modern NoSQL movement. The system uses a flexible schema model: data is stored as BSON documents (Binary JSON), which allows developers to iterate quickly without rigid table structures. Engineered for scale, MongoDB supports native features like sharding for horizontal scaling and built-in replication for high availability across replica sets. The platform handles diverse, high-volume workloads: real-time analytics, content management, and mobile applications are common use cases. Deployment is streamlined via MongoDB Atlas, the fully managed cloud service available on AWS, Google Cloud, and Azure.

- Official technology site: https://www.mongodb.com/
- Public AI Tinkerers demos and talks: 15
- Result page: 1 of 1

## Recent Public Talks and Demos

### [From Rehabilitation to Flapping Wings: Real-Time Perception Driving Physical Systems](https://tokyo.aitinkerers.org/talks/rsvp_c8643kvumj0)

I build AI perception systems that drive physical robots. Three projects, one thread: cameras and sensors feeding real-time decisions into motors, navigation, and flight. First, the AI motion-evaluation module I built during my internship at Genrobotics for G-KAI, a 4-DOF rehab arm, a camera-based system that scores a patient's movement in real time and drives the multi-motor control loop. Second, an amphibious robot I built independently (grant-funded, IEEE-published) that fuses LiDAR and camera for autonomous SLAM navigation on land and water. Third, a biomimetic ornithopter (flapping-wing UAV, design patent filed) from my startup, Ornistra Intelligence. On stage, I'll show a live recreation of the motion-tracking pipeline on a laptop, real SLAM visualization from the amphibious robot, architecture diagrams for each system, and photos of the actual ornithopter prototype.

- Event context: AI Tinkerers Tokyo - September 1st Meetup — 2026-09-01 — Tokyo
- Public talk page: https://tokyo.aitinkerers.org/talks/rsvp_c8643kvumj0

### ["From Noise to Signal: How a Team of AI Agents Turns Global Supply Chain Chaos into Actionable Intelligence"](https://st-louis.aitinkerers.org/talks/rsvp_EasqleNNKLg)

We built a supply chain intelligence platform that deploys a coordinated team of four AI agents to scan thousands of global news sources and instantly surface the events, risks, and patterns that matter most to traders, analysts, and executives. Demo context: Imagine you're a commodities trader. You need to know everything relevant about aluminum and tariffs — right now. Instead of spending 10 hours manually combing through 50+ news sources, you ask a single question. Within seconds, four AI agents divide the work: one decides which data domains to search, one plans the analysis strategy, one constructs precise database queries, and one synthesizes everything into a structured intelligence brief — complete with sources you can verify yourself.

- Event context: AI Tinkerers St. Louis: April 2026 Meetup — 2026-04-14 — St. Louis
- Public talk page: https://st-louis.aitinkerers.org/talks/rsvp_EasqleNNKLg

### [The Real Santa Claus by Minds & Models](https://prague.aitinkerers.org/talks/rsvp_jzk6DE6Kn10)

We will present our system for real time content personalization of ad screens.

- Event context: AI Tinkerers Prague: Annual Christmas Meetup 2025 — 2025-12-16 — Prague
- Public talk page: https://prague.aitinkerers.org/talks/rsvp_jzk6DE6Kn10

### [Integrating AI Agents in React and Node Applications](https://nyc.aitinkerers.org/talks/rsvp_V65dFTL4U5A)

In this talk, we'll dive into Playpals, an app that transforms the way parents connect. We'll start with a traditional parent social network and then demonstrate how we elevated the user experience by building and integrating AI agents. Learn how these agents simplify the process of scheduling playdates, turning a static platform into a truly intelligent, interactive tool for community building.

- Event context: NYC October Demo Day — 2025-10-02 — New York City
- Public talk page: https://nyc.aitinkerers.org/talks/rsvp_V65dFTL4U5A

### [$5 to everyone with an iPhone via Jelly Dm](https://nyc.aitinkerers.org/talks/rsvp_CG3U7gtLQWs)

We will run a command line script from our terminal that sends $5 in jelly-my-jelly crypto to every user that is in the crowd instantly, by utilizing our instant direct message system built on mongo db. The way we'll verify users that are viable recipients are anyone that posts a jelly about the event, while at the event, from which we'll pull everyone that is on the live public feed from the time the event started onwards. The payment go directly, into every users Jelly Dm. Our Jelly DM system is built to scale and for instant real-timeness with Mongo DB. We will have our CTO, Joe describe and run through the code of our chat system while the payments are firing off. Everyone will be richer after our demo, powered by our Jelly DM payment system who's undercurrent is Mongo DB

- Event context: Demopalooza @ The Javits Center with MongoDB — 2025-09-17 — New York City
- Public talk page: https://nyc.aitinkerers.org/talks/rsvp_CG3U7gtLQWs

### [From Generation To Composition: Building Production-Grade Software with AI](https://nyc.aitinkerers.org/talks/rsvp_CwM6jiT2mdk)

I will demonstrate how composition of software enables to create a Product Hunt clone in a single prompt that can be maintained at ease and scaled to millions of users using React, NodeJS and MongoDB

- Event context: Demopalooza @ The Javits Center with MongoDB — 2025-09-17 — New York City
- Public talk page: https://nyc.aitinkerers.org/talks/rsvp_CwM6jiT2mdk

### [VibeCode: del diseño a la IA generativa, mi forma de desarrollar software](https://santiago.aitinkerers.org/talks/rsvp_T9fePJfiq3U)

Es una metodología que redefine el desarrollo de software bajo el principio del 90/9/1: 90% generado por IA, 9% corregido por humanos y solo 1% escrito manualmente. Si ese 1% se extiende, estás usando mal la IA. Con Vibercode, una simple idea en lenguaje natural puede convertirse en una aplicación funcional (frontend + backend), estructurada y documentada, usando plantillas, animaciones y modelos como Claude u OpenAI. Demostraremos cómo pasar de un prompt a un sistema real usando Go, MongoDB, React, GSAP y Swagger, todo dentro de un flujo que prioriza la velocidad sin sacrificar calidad.

- Event context: 🔥 AI TINKERERS – SANTIAGO / CAPÍTULO 6 — 2025-07-31 — Santiago
- Public talk page: https://santiago.aitinkerers.org/talks/rsvp_T9fePJfiq3U

### [How My AI Agent Learns from Humans — Self-Training via Second-Level Support](https://rome.aitinkerers.org/talks/rsvp_l3EqJ8rC-Nw)

In this 5-minute demo, I’ll show how I built a self-training mechanism for an AI Agent by leveraging second-level human replies. When the AI fails to answer, the conversation is routed to a human. If the human provides a useful answer, it’s automatically extracted and stored as new training data — allowing the agent to improve its performance over time without manual labeling. I’ll walk through the architecture, data flow, and key functions that make this loop work. I’ll walk through the key components: - A webhook that listens to human responses and filters suitable training samples - A function that reformulates user+human messages into canonical Q&A entries using LLMs - A script that updates the RAG index (e.g., Pinecone, Qdrant, or local FAISS) - An optional visual flow using Tiledesk Design Studio to orchestrate the fallback and learning path

- Event context: AI Tinkerers Rome – May 30, 2025 — 2025-05-30 — Rome
- Public talk page: https://rome.aitinkerers.org/talks/rsvp_l3EqJ8rC-Nw

### [DocRouter.AI](https://boston.aitinkerers.org/talks/rsvp_L9OZr2Ggm4E)

An open source project, DocRouter.AI transforms unstructured documents into ERP data. We recently added support for full schema extraction, using a drag-and-drop UI. We will look at how that was implemented, and also at how the Cursor editor was instrumental in how latest features were developed.

- Event context: AI Tinkerers Boston April Meetup - Open Source Innovations in AI — 2025-04-28 — Boston
- Public talk page: https://boston.aitinkerers.org/talks/rsvp_L9OZr2Ggm4E

### [AI Patient Voice Simulator](https://seattle.aitinkerers.org/talks/rsvp_i7eeiSZT1Wo)

A voice to voice simulation of an Virtual AI patient using the Elevenlabs API. I will be demoing a project where I use the elevenlabs conversational agent to roleplay as a patient to practice diabetic patient consulting. This will be hosted on a nextjs front-end with a chatbot UI setup styled using shadcn components.

- Event context: AI Tinkerers Seattle - April Meetup — 2025-04-25 — Seattle
- Public talk page: https://seattle.aitinkerers.org/talks/rsvp_i7eeiSZT1Wo

### [IA powered low code automation tool](https://medellin.aitinkerers.org/talks/rsvp_KbY33Zg1rTM)

SBOT es una herramienta low-code de automatización de pruebas, ahora integrada con IA para acelerar el diseño de casos de prueba, combinando el juicio humano del QA manual con la velocidad de la automatización. Permite crear y ejecutar pruebas de forma fácil desde una interfaz gráfica, integrándose con pipelines CI/CD para optimizar el time to market y la calidad del software.

- Event context: AI Tinkerers Medellín #11 - Science Fair - Agentes en acción — 2025-04-01 — Medellín
- Public talk page: https://medellin.aitinkerers.org/talks/rsvp_KbY33Zg1rTM

### [Spoticry](https://ann-arbor.aitinkerers.org/talks/rsvp_aXC9uPQBYhQ)

SpotiCry is a full-stack emotional analytics platform I developed to help college students understand their emotions during stressful times. It uses D3.js and Chart.js for data visualization, with a Flask-based RESTful API serving data to a React frontend. The platform automates data extraction from Google Sheets and uses MongoDB for storage. I am now exploring AI integration, specifically NLP for analyzing user inputs and ML models for predicting emotional patterns. I will demo the current functionality and discuss the challenges and opportunities in incorporating AI to enhance emotional insights and user experience.

- Event context: AI Tinkerers: Ann Arbor - September 18 — 2024-09-18 — Ann Arbor
- Public talk page: https://ann-arbor.aitinkerers.org/talks/rsvp_aXC9uPQBYhQ

### [Analyrics](https://ann-arbor.aitinkerers.org/talks/rsvp_FZFDu4lM0Wk)

25,000+ Users | Analyrics: Lyrics Analysis Platform analyrics.info, github.com/shah-aryan/Analyrics Built and deployed "Analyrics," a full-stack web application with a lyrics analysis database of 1M+ songs, artists, and albums, using MongoDB, Express.js, React, Tailwind, RESTful APIs, and Node.js for low latency and well-received iconic UI Developed efficient web scrapers for 1M+ web pages, implementing concurrency in Python, leveraging rate-limiting to avoid IP bans, and employing robust error handling, data validation, and retry mechanisms to ensure data integrity and reliability Implemented NLP algorithms for lyrics analysis, including sentiment and emotion analysis with NRCLex and part of speech recognition with spaCy to identify emotions, vocabularies, trends, sentiments, and collaborations in music Visualized interactive artist collaboration maps, emotion analyses, reading levels, and word clouds creatively using D3.js Received positive feedback from users and tech companies (Apple, Spotify, Genius, Dots(YC21)), contributing to 25,000+ users

- Event context: AI Tinkerers: Ann Arbor - September 18 — 2024-09-18 — Ann Arbor
- Public talk page: https://ann-arbor.aitinkerers.org/talks/rsvp_FZFDu4lM0Wk

### [Let's code a Postgres app with Devin](https://berlin.aitinkerers.org/talks/rsvp_t9zpT-Nl05U)

In this demo, I will show how to use Devin to migrate a simple Next.js app that uses MongoDB to PostgreSQL

- Event context: Ollama & Friends coming to AI Tinkerers Berlin — 2024-07-18 — Berlin
- Public talk page: https://berlin.aitinkerers.org/talks/rsvp_t9zpT-Nl05U

### [SmartyStory.com | Practice Reading With Your Kids](https://denver-boulder.aitinkerers.org/talks/rsvp_YSx_bS-isQw)

SmartyStory was born because my kids were behind on their reading skills, and I needed to give them something engaging which would help them learn, all while doing it on their own time so I could do other things. After initial tests with ChatGPT, I decided to strap together Vercel, Midjourney, MongoDB, and OpenAI in order to create a platform where books could write themselves. It is still a work in progress...

- Event context: AI Tinkerers Denver - June Meetup — 2024-06-11 — Denver
- Public talk page: https://denver-boulder.aitinkerers.org/talks/rsvp_YSx_bS-isQw

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