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Hi there πŸ‘‹, I'm Akintayo Akinpelu

Arkintea

ABOUT ME

  • πŸ”­ I’m currently working as an Industrial IoT Engineer at Tranter-IT || IoT Africa Networks

  • 🌱 I’m currently learning Machine Learning, Deep Learing, MLops, AIops, NLP and Computer Vision

  • πŸ’» Check my Projects and other Repos HERE

  • πŸ‘― I’m looking to collaborate on IoT and computer vision projects

  • πŸ’¬ Ask me about industrial IoT solutions, energy solutions, simulation and numerical computation

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Akintayo Akinpelu's Projects

automation-gateway icon automation-gateway

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.

gfpgan icon gfpgan

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

industrial-data-store-simulation-chatbot icon industrial-data-store-simulation-chatbot

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

iot-sensor-fault-detection icon iot-sensor-fault-detection

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.

ming icon ming

Balena.io/Docker-compose repo for a containerised #MING (Mosquitto, InfluxDB, NodeRed, Grafana) stack

open-llms icon open-llms

πŸ“‹ A list of open LLMs available for commercial use.

project-backorder_prediction icon project-backorder_prediction

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).

project-insurance_premium_prediction icon project-insurance_premium_prediction

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.

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