Öngörücü Analitik Jobs

I’m building a smart irrigation setup that links a Raspberry Pi edge server with several ESP32 nodes in the field. Each ESP32 gathers data from soil-moisture probes, compact weather boards (temperature, humidity, barometric pressure), and inline flow meters, then reports everything wirelessly to the Pi for processing. Here’s what I need from you: • Python (Raspberry Pi) and MicroPython/C++ (ESP32) code that ingests the raw sensor streams, pushes them through an on-device model, and decides—within seconds—whether to start or stop the main pump and which solenoid valves to open. • An ML pipeline: training notebooks, a lightweight model (TensorFlow Lite or similar) and the inference wrapper that runs locally. The model must act on current soil-moisture rea...

I need an expert to develop embedded algorithms for our OWLY predictive maintenance platform. The platform uses fused vibration and acoustic sensing to detect early equipment faults in home appliances, specifically washing machines, dryers, and refrigerators. Key Requirements: - Convert sensor data into actionable equipment health diagnostics. - Focus on early fault detection for motors, bearings, and gearboxes. Ideal Skills and Experience: - Strong background in embedded systems and algorithm development. - Expertise in signal processing and sensor data analysis. - Experience with home appliance maintenance or diagnostics. - Familiarity with machine learning techniques is a plus.

We' re actively seeking a special strategic individual and proven app developer to collaborate with Encyclomedia on the creation of a next-generation, AI-enhanced platform designed to transform how media planning, audience intelligence, and performance optimization are executed in today’s data-driven environment. This is not a typical build request. It is an opportunity to co-develop (as a potential partner) a flagship product positioned for market leadership, backed by Encyclomedia’s deep expertise in media strategy, analytics, and measurable ROI. With more than three decades of experience serving blue-chip brands, agencies, and media organizations, we bring validated market demand, industry relationships, and a clear commercialization pathway. The app will integrate ad...

I’m building a multi-tenant SaaS platform that helps organizations manage the full grant lifecycle. The codebase is already on Laravel 10, and I now need to round out the CRM layer and weave in practical AI features that remove repetitive work and surface smarter insights to users. Core ERP modules to complete • CRM • Ecommerce • Grant Management • Sales Automation • Customer Support Tracking AI functionality to embed • Predictive analytics that flags high-value or at-risk grants • An in-app chatbot that can answer workflow questions and draft common emails • Automated data entry that parses uploaded PDFs or emails and maps fields directly into the database Scope of work – Finish or refactor existing Laravel controll...

My process-piping circuits in an oil & gas service are beginning to show uneven wall loss and experience recurrent leaks, and I need a focused CFD corrosion-erosion study that pinpoints where failure will most likely initiate. Scope • Build a 3-D CFD model of the specified piping runs and flow paths. • Use the material properties and flow-condition data I will supply to simulate erosive particle impingement, wall shear stress, and corrosion-erosion coupling. • Generate a risk map that highlights high-rate thinning zones and ranks them by remaining life and likelihood of rupture. Key objectives – Predict failure points with enough accuracy to guide inspection planning and spool replacement. – Quantify local wear rates (mm/yr) and correlate them...

I want an Android app that SIMULATES crash game behavior for PROBABILITY ANALYSIS purposes. Requirements: - Simulated crash rounds based on probability models - Streak & volatility analysis - Auto-generated signals (Low / Medium / Avoid) - Target outcome accuracy around 75%

I’m building a fully-hosted SaaS product that delivers data analytics without writing code. The stack must be assembled in Base44 (or any comparable no-code environment you prefer) and deployed to either AWS or Azure—whichever lets us scale most smoothly. Core purpose The application will ingest data from standard cloud-based sources and immediately surface insights. Real-time reporting is essential: think live dashboards that update the moment fresh records land. I also need a predictive layer so customers can run quick “what-if” scenarios and receive machine-generated forecasts. Access & security All users will come in through Single Sign-On. I want frictionless login that still meets enterprise requirements, so plan on SAML or OAuth-based SSO with t...