I enjoy automating business processes for startups and entrepreneurs

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Nzouat Dev • Peerlist

<h3>Discover if you've overpaid and find local savings with CartLens.</h3><ul><li>Instant Receipt &amp; Price Tag Scanning: Point your camera at any receipt or price tag, and CartLens instantly reads every item and price with 99.8% accuracy.</li><li>Overpayment Detection: In seconds, CartLens reveals if you paid a fair price and highlights where nearby stores offer the same items for less.</li><li>Real-time Price Comparison: Compare your full shopping list across local stores to find the cheapest combination in real time.</li><li>Spending Insights: Visualize your spending across categories, stores, and trips to understand where your money goes.</li><li>Price Spike Alerts: Get notified of sudden price increases at local stores.</li><li>AI Shopping Chat (CartAssistant): Your AI sidekick for smarter shopping. Ask anything to find cheaper alternatives, track savings, and get shopping recommendations.</li><li>Global Intelligence: Full native support for 11 languages, adapting to local currency and units automatically.</li><li>Data Sovereignty &amp; Privacy: Built with a privacy-first architecture, including GDPR/CCPA compliance and SOC2 Type II security. You own your data.</li><li>Data Portability &amp; Anonymity: Download your shopping history as a localized JSON archive and decommission your identity with a single click.</li><li>Crowdsourced Prices: Leverages real prices from real shoppers, not web scrapers, for accurate, ground-truth data.</li></ul>CartLens empowers you to never overpay again by providing the tools to compare prices, audit spending, and shop smarter. The Price Lattice maps the physical economy in real-time, growing with every scan for surgical accuracy.

CartLens

COVID REST API Provides a set of intuitive Backend API endpoints to efficiently and quickly query the coronavirus (COVID-19) dataset. Covid Rest API is FREE and publicly available to all sorts of users Scientists Can use it to build visualization tools to better understand the geographic impact of Covid-19. Businesses Can use this API to learn how Covid-19 impacts their business on a local level. Developers Can use this API to build the next data-driven app for Covid-19.

Covid-Rest-API

Reported San Francisco is a user-generated content and personal assistant that assists residents of San Francisco 1.  Anonymously report non-life threatening incidents or crimes. 2.  Browse Reported Incidents based on various criteria such as Location, Date, Type of crime, Resolution, Day of the Week, etc. 3. Instantly Connect with local law enforcement 4. Geolocate themselves. Link to the Directory Page: http://bit.ly/2LXpOcq To invoke the assistant, Say or type: a- OK, Google b- Talk to Reported San Francisco

Artificial Intelligence / Chatbot - Reported 

Reported’s mission is to equip citizens and law enforcement officers with the right tool to help reduce non-life threatening crimes THE PROBLEM There is no unified, efficient and trusted way for citizens and law enforcement officers to share data about crime/incidents with each other online. - 911 service is often misused/abused by citizens - Misallocation of resources is a result of those abuses - Trust issues between Law Enforcement & the communities they serve - There's not enough staffing to actually answer the 911 calls - On average, it takes 18 mins for the police to arrive and in certain cases, they have very vague information about the incident/crime. THE SOLUTION Reported streamlines the collection and dissemination of crime data between citizens and local law enforcements agencies through anonymous tips. Reported not only helps citizens report crime with ease, but also provides a way to visualize crime data that matters to them right now, and to make better decisions based on that information. With its mobile-ready platform, Reported lets Law Enforcement officers manage crime data and users, even on the go. They can leverage its intuitive dashboard to make better decisions and allocate resources more efficiently. BUSINESS APPLICATIONS Public Safety: Reported can be used by citizens to protect the communities they live in, by sharing crime information Governments & Law Enforcement: Law Enforcement agencies can leverage Reported to manage incoming tips on the go SKILLS USED TO BUILD REPORTED MEAN STACK, jQuery, HTML5, CSS3, APIs, Photoshop, Illustrator, JavaScript, D3.js, REST, Google Maps API, Twilio, SendGrid, MongoDB, ExpressJS, AngularJS, NodeJS, IBM Watson Visual Recognition API and Classification. Contact me for a live demo Powepoint Presentation DM me

Reported - Crime Reporting Platform

Developed an open-source, production-ready Document Intelligence platform that enables users to have natural language conversations with their documents (PDFs, DOCX, TXT, and images). The system leverages Retrieval-Augmented Generation (RAG) and Semantic Search to provide context-aware responses with source citations. Key architectural features include: ⭐️ Multi-Provider AI Integration: Seamlessly supports OpenRouter (100+ models), OpenAI, and Anthropic. ⭐️ Advanced Document Processing: Integrated IBM’s Docling for high-fidelity table extraction and layout preservation. ⭐️ Vector Search & Storage: Built using Pinecone and pgvector for efficient semantic similarity matching. ⭐️ Scalable Architecture: Implemented background job processing with Inngest for asynchronous document vectorization and OCR. ⭐️ Enterprise-Ready: Features Clerk authentication, multi-tenant organization isolation, and Stripe-integrated billing for SaaS scalability. Modern Tech Stack: Built with Next.js 15, React 19, TypeScript, Prisma ORM, and Tailwind CSS.

Document Chat System: AI-Powered RAG Platform

The research paper was a combination of literature review about Data Mining and its use in presidential elections. Data Visualization capabilities were also discussed as a way to dig deeper into voters' data. The paper first and foremost recalled concepts surrounding Data Mining (definition, utility, etc.). Next, the paper explained how political parties and lobbies collect data about voters. Voter profiling is also discussed. The research paper described a particular class of voters: “Swing Voters” by identify variables (or parameters) that characterize them. A powerful Data Mining Algorithm discussed in the paper id Discriminant analysis, which can be used to identify and classify Swing Voters. The Obama campaign used these strategies and many others to win the 2012 presidential Election.

Data Mining in politics: Case of Presidential

Projet COGOV is the first Public Database in Cameroon that gathers useful data (geographical data, demographics, mayor information, weather and financial data) about each district all across the country. The web application is built on HTML5, CSS3, JS and Web frameworks such as AngularJS, Twitter Bootstrap 3.0. It Leverages a weather API to get weather data in a particular city. it uses JSON to populate the data into the view. The web application is fully reponsive and fast.

Web Developer

1010 Brickell is a Luxury Condo Real Estate Project. Part of my job in this project is to produce marketing materials which help Sales sell Real Estate Project.