Analitică predictivă Jobs

I am assembling a full-stack solution that ingests live financial databases, open-source macroeconomic feeds, and user-submitted figures, then turns all of it into forward-looking insights. The core of the product is an AI layer that delivers predictive analytics and runs configurable scenario simulations; the results need to surface instantly inside an intuitive web dashboard where users create and save their own reports and visual layouts. What I need from you is an end-to-end build: • Data layer – connectors that automatically pull structured and unstructured data from the three source categories above, plus a storage design that can scale as historical records grow. • ML & simulation engine – time-series forecasting models, Monte Carlo or agent-based simula...

Hiring: AI Bot Development Company – Truck Valuation System (AU-Based Company) We are an Australian-based company seeking an experienced AI development company to build an intelligent AI bot capable of performing truck valuations. Project Overview: We require an AI-powered solution that can accurately assess and estimate the market value of trucks based on various data inputs such as make, model, year, condition, mileage, location, and current market trends. Key Requirements: Development of an AI bot capable of automated truck valuations Integration with market data sources and historical sales data Ability to continuously learn and improve valuation accuracy User-friendly interface (web-based or API integration) Secure data handling and compliance with Australian data standards E...

I need an expert to develop predictive models using AI on airway assessment parameters for my research thesis. The project needs to be completed within a month. Key Requirements: - Expertise in AI and machine learning - Experience with predictive modeling - Familiarity with healthcare data, especially airway assessment parameters - Strong analytical skills Ideal Skills and Experience: - Background in data science or related field - Proficiency in programming languages such as Python or R - Experience with AI tools and frameworks - Ability to interpret and visualize complex data Please provide a portfolio with relevant experience.

The heart of the product is Data analytics and reporting. Every logged record must flow into a robust pipeline that supports: • Real-time data visualization so case managers, HR and WHS officers can watch trends as they unfold. • Predictive analytics to help organisations spot emerging risks before they escalate. • Custom report generation that lets Admin, Editor and Viewer roles export exactly what they need, in their preferred format. The system will include: Secure user authentication and role-based access Multi-organisation (multi-tenant) architecture Structured assessment forms and data capture Incident/workflow management functionality Dashboards with trend analysis and reporting Export capabilities and audit logging Cloud hosting in Australia This is ...

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 a single-file Excel dashboard that lets me monitor revenue and expenses alongside overall profit-and-loss performance, then projects those figures forward with clear, reliable forecasts. The workbook should pull raw data from one or more clean tables, refresh at the click of a button, and display the key numbers through interactive charts, slicers or drop-downs so I can drill down by month, quarter and year. A dedicated section for predictive analytics—using built-in Forecast Sheet, Power Query/Power Pivot, or another proven method you prefer—should show at least a 12-month outlook with confidence intervals highlighted. Deliverables • Finished .xlsx file, no external add-ins required • Documentation tab outlining data layout, formulas or DAX measures,...

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.