Google App Engine Jobs

I want my Smiirl counter to flip in real time whenever my business earns a new 5-star review on Google. The Google Business Profile is already active and collecting reviews; I simply need the bridge that pulls the live “5-star review” count and feeds it to the Smiirl API. What I expect from you • A small, well-commented script or cloud function (Python, JavaScript, or similar) that calls the Google Places/Reviews API, filters for 5-star reviews only, and returns the running total. • Proper authentication setup for both Google and Smiirl endpoints. • A quick set of install notes so I can host or schedule the call (AWS Lambda, Google Cloud, or a lightweight VPS—whatever suits the code you write). • One test session showing the counter increment ...

I'm seeking a skilled developer to create 'OnDeck', a dynamic second-screen app for sports enthusiasts. The app should be available on both iOS and Android platforms. Key Features: - Live map of local courts - Notification to friends when you arrive ("I'M HERE" feature) - Filter by skill level or social vibe Additional Functionalities to Enhance User Experience: - In-app messaging - Game scheduling - Detailed player profiles Ideal candidates should have experience in mobile app development, particularly with real-time location services and in-app notifications. Proficiency in UI/UX design is also a plus to ensure a smooth and engaging user experience.

I run a field-service operation that looks after more than 500 customers and I want to tighten up the way we organise daily work. The core objective is efficient job scheduling: every booking should automatically slot into a cluster, notify the customer on WhatsApp when the job is scheduled, and feed my technicians their day’s itinerary without any manual copy-paste. Today I already rely on a basic rule-based Google Sheet, so I’m not looking for a full-blown CRM or anything AI-driven. I just need lean, fully explainable Google Apps Script routines tied to the WhatsApp Business API. Here’s the flow I have in mind: • One master sheet lists Customer ID and Cluster ID. • A scheduling sheet assigns jobs and bundles them by cluster or technician. • Whenever...

I want to have an APP for visiting construction sites Having a basic address, I am Taking/Saving Photos per site and store a list of technical data (circa 50fields) I need this info to be exported to Excel / xml

Job Title: Clinic Appointment Automation (Google Sheets + + WhatsApp) Description: Looking for an automation expert to build a clinic appointment system using Google Sheets, , and WhatsApp/SMS. Must deliver end-to-end working system with documentation. Objective (What problem this solves) Automate clinic appointment handling using Google Sheets + WhatsApp/SMS so that: Scope of Work A. Core System (Mandatory) 1. Google Sheet Setup (Just copy paste as is)… o Create master sheet with following columns ONLY:  Patient Name  Mobile Number  Appointment Date  Appointment Time  Doctor Name  Status  Booked  Confirmed  Attended  Missed  Rescheduled 2. Automation o Trigger when a new row is added or status changes o Automation logic:  Booked → Send confirmation message  C...

We are looking to build a modern, scalable mobile and web application that combines Android, iOS, and Web platforms with a robust Node.js backend and AI-powered features. The product will allow users to sign up, manage their profiles, interact with intelligent features (AI-based recommendations/automation), and access the platform via mobile apps (Android & iOS) as well as a responsive web dashboard. The backend will be built using Node.js, while the frontend will use React.js for the web and modern frameworks for mobile development. Python-based AI services will be integrated to provide smart automation and insights. This project is intended as a long-term product, not a quick MVP, so code quality, scalability, security, and clean architecture are essential. Core Features: - User ...

Job Description We are seeking an experienced full-stack developer or development team to build a secure, AI-powered financial data visualization and document platform with strong Digital Rights Management (DRM) and semantic search (RAG) capabilities. The platform will host and stream financial documents (PDFs), allow structured hierarchical navigation, enable AI-driven discovery and summaries, and enforce strict access control to prevent unauthorized downloads or redistribution. Monetization via subscriptions and ads is a core requirement. This is a serious, long-term project requiring strong architecture, security, and AI integration experience. Core Functional Requirements Frontend (SPA) Single Page Application (SPA) 6-level hierarchical navigation: Country → Sector → Co...

Looking for an ASO expert to get me organic installs for my already released game on google play store. I need installs from Tier 1 countries(US,UK,Australia,Germany)

I need a small, reliable script that can take batches of raw text files and run them through a fully automated workflow. At a minimum the routine should ingest the files, process the text, and return clean, well-structured output I can feed straight into my existing systems. My current bottleneck is doing this by hand, so the solution must run unattended once configured. Although my immediate goal is straightforward data processing, I’m open to seeing how you’d weave in text extraction, transformation, or even lightweight analysis if that simplifies the pipeline or adds value. I work comfortably with Python, so a solution built with pandas, spaCy, or similar libraries would fit right in, but I’m not married to any single toolset as long as the final deliverable is easy f...

I already have a clean Microsoft-format CSV that contains nothing but street addresses. What I need is a repeatable workflow—code, no-code, or a hybrid—that takes that file, lets Google Maps (Places API or a comparable method) look up each address, pulls every business name that exists at that location, and then writes the results into a Google Doc. For the document layout I want the address shown once, followed immediately by a simple list of all business names found at that spot (no tables, no extra formatting). Key points you should respect: • The CSV is finished and ready to ingest as-is. • If more than one business is tied to an address, keep every name. • Output in Google Docs: one address followed by its full list, then move on to the next address. I...

I have an urgent need for a clean, well-structured dataset containing the listing agent’s first name, last name, mailing address, and phone number for well over 500 active Zillow listings. Speed is critical, but accuracy matters just as much; the final file should be ready for immediate import into my CRM. You are free to use whichever stack you prefer—Python with BeautifulSoup or Scrapy, Selenium, residential proxies, even the unofficial Zillow API—so long as rate-limits are respected and the data is complete. I don’t need property details or price history; the focus is strictly on the agent contact fields. Deliverables • CSV or XLSX with a separate column for each required field • A short read-me explaining the script or method so I can rerun it la...

I need help weaving Ujet seamlessly into an existing chat-bot so our customers get faster, smarter assistance without ever leaving the conversation. The immediate targets are: • Upgrading live-chat handling through Ujet’s real-time capabilities. • Letting the bot tap Ujet’s AI layer to recognise common queries and suggest accurate replies before a human agent steps in. Our bot already pulls answers from an internal knowledge base (built on standard REST endpoints), so the integration must respect that architecture—no data silos. I’ll share endpoint docs and authentication keys once we start. Success looks like this: a user launches chat, Ujet routes the session, the bot offers AI-driven suggestions, and the exchange is logged back to the knowledge bas...

I want to consolidate every moving part of my e-commerce operation inside a single Google Sheets workspace and keep the process semi-automated—manual data can still come in, but everything else must update itself. The sheet will act as a live database, fed by daily order files (Excel or even PDF after OCR), and complemented by small Python or Apps Script utilities whenever a formula alone cannot cope. Core workflow • Product master: create an internal SKU that maps each Amazon, Flipkart, Meesho and B2B listing back to one canonical product. • Flexible cost engine: calculate landed cost by kg, pack, combo, size or individual piece and let the model decide which rule to apply. • Orders & P/L: ingest daily order dumps, auto-apply platform commission, shipping, ...