Name: Akintayo Akinpelu
Type: User
Company: IoT Africa Network || Tranter IT
Bio: I am an IoT Engineer keen on making sense of data and much more.
Twitter: akintayour
Location: Nigeria || United Kingdom
Blog: www.linkedin.com/in/akintayoakinpelu
Akintayo Akinpelu's Projects
500 AI Machine learning Deep learning Computer vision NLP Projects with code
My personal repository
Portfolio
A OPC UA gateway which gives you access to your OPC UA values via MQTT or GraphQL (HTTP). If you have an OPC UA server in your PLC, or a SCADA system with an OPC UA server, you can query data from there via MQTT and GraphQL (HTTP). In addition, the gateway can also log value changes from OPC UA nodes in an InfluxDB, IoTDB, Kafka, and others.
Datacamp
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
This code sample deploy a realistic simulated Manufacturing Execution System hosted on PostgreSQL and a companion chatbot application powered by Amazon Bedrock to query data from the MES using natural language
Modbus protocol module for use with the Azure IoT Edge
The Air Pressure System (APS) is vital for heavy-duty vehicles, using compressed air to apply pressure to brake pads. It offers advantages like readily available and sustainable natural air. This problem classifies, the positive class attributes APS failure to a specific component, while the negative class attributes it to other causes.
Balena.io/Docker-compose repo for a containerised #MING (Mosquitto, InfluxDB, NodeRed, Grafana) stack
Examples and small programs regarding OPC UA on machine tools.
π A list of open LLMs available for commercial use.
Backorders are unavoidable, but by anticipating which things will be backordered, planning can be streamlined at several levels, preventing unexpected strain on production, logistics, and transportation. ERP systems generate a lot of data (mainly structured) and also contain a lot of historical data; if this data can be properly utilized, a predictive model to forecast backorders and plan accordingly can be constructed. Based on past data from inventories, supply chain, and sales, classify the products as going into backorder (Yes or No).
Customer Personality Analysis is a detailed analysis of a companyβs ideal customers
First end to end machine learning project
The goal of this project is to give people an estimate of how much they need based on their individual health situation. After that, customers can work with any health insurance carrier and its plans and perks while keeping the projected cost from our study in mind. This can assist a person in concentrating on the health side of an insurance policy rather than the ineffective part.
Quick - Preconfigured MING Stack