The Legit Baines Blog

📻📟📠  I've been exploring potential options for designing a private network that gathers sensor data and delivers it securely to a central hub while also supporting two-way communication requires careful consideration of range, bandwidth, latency, security, and scalability. Whether you’re managing environmental monitors across farmland, tracking machinery in a factory, or aggregating building automation data, the right architecture ensures reliability and long-term flexibility. Below are four proven approaches, each suited to different operational needs. The first method is a local Ethernet or wired LAN architecture . In this setup, sensors connect via Ethernet (often using Power over Ethernet to simplify cabling) to switches that route traffic to a central on-site server or data hub. Two-way communication is straightforward: the hub can push configuration updates, firmware patches, or control commands back to the devices over the same secure channel. This method offers high ba...

Hallam University Taught Me New Things Plus Also How to Learn Even More Now that I've finished my university journey, I’ve been reflecting on how much I’ve grown, not just in terms of knowledge, but in the very process of learning itself. University has opened my eyes to entire worlds of technology I never imagined exploring, from databases to Artificial Intelligence (AI), and from the Internet of Things (IoT) to programming. But what stands out most to me is how university has taught me not just new things, but also how to learn new things, even on my own. The New Things I’ve Learned When I first walked into university, I had a basic understanding of technology and programming. But the subjects I’ve encountered throughout my studies have completely transformed my perspective on what is possible. Here are just a few of the most exciting things I’ve learned: 1. Databases Learning about databases has shown me how the power of data is structured, stored, and retrieved. I never tr...

 Reintroducing Cuthbert Baines For New People In His Network As a recent IT graduate I'm new to the IT industry so I don't have the kinds of professional connections I need to be given a head-start, I'm one of the many new IT graduates applying for the relatively few  graduate jobs out there.  I am prioritising my personal and professional development right now.  I wish I had gone to University 20 years ago but for reasons outside my control I was written off at 16 so I missed out.  I don't give up easily up so I finally went to Hallam University when I was 35 and got a 2.1 in computing in 2025, now I'm willing to go the extra mile and do what needs to be done to make up for lost time!  I had to get a job when I was 18 so I've got the professionalism, life experience and wisdom of a (late) 30-something who's worked his entire adult life combined with the youthful intellectual energy of an explorer and a pioneer new to the IT sector with his own fresh innov...

I have always been good with numbers, when I was at school I did my Maths GCSE a year early and got a B. Unfortunately I had a lot of bad things going on in my life at the time so I didn’t go forward with University at that time.  Fast forward a decade or two and now I’m a recent graduate from Hallam University , I went there as a mature student to do a degree in computing and the course involved loads of data related modules. During my Computing course at Hallam University I spent a lot of time learning about data, databases, data cleaning , data processing, data management, data analytics and data visualisations . The course also involved a number of assignments that included a power point presentations in front of tutors and answering their questions about the work afterwards. Presentations were something I was very comfortable doing. I learned to collect raw sensor data using a Raspberry Pin (or from a pico using micropython/circuitpython), I learned that it is absolu...

  5 Reasons Why AI Tools Can Be Useful — And 5 Reasons Why AI Is Becoming a Bubble Artificial intelligence has quickly become the center of global attention. It promises efficiency, creativity, automation, and entirely new business models. But as the hype grows louder, so do concerns that we may be entering bubble territory — a cycle of inflated expectations, overinvestment, and unrealistic assumptions about what AI can deliver. Below is a balanced look at both sides: why AI tools truly are useful, and why the current boom may be a bubble in the making. 5 Reasons Why AI Tools Can Be Useful 1. They dramatically speed up repetitive work From drafting documents to generating code templates, AI automates time-consuming tasks. This frees humans to focus on higher-level judgment, strategy, or creativity. 2. They democratize access to advanced capabilities You no longer need to be a programmer, designer, or data scientist to perform tasks once reserved for specialists. AI expands...

🧭 1. Workplace Health & Safety Assessment Purpose  👍 To identify workplace hazards, evaluate associated risks, and plan control measures to maintain a safe and healthy environment for all employees — even in a primarily office or remote data analytics setting. Step 1: Identify Hazards For a data analytics start-up, typical hazards include: Category Examples of Hazards Potential Impact Physical Environment Poor lighting, trip hazards from cables, ergonomic issues Eye strain, back/neck pain, falls Equipment & Electrical Overloaded sockets, faulty devices, overheating laptops Electrical fires, equipment damage Workstation Setup Poor chair posture, screen height Musculoskeletal disorders Psychosocial Workload stress, long screen time, isolation (remote workers) Burnout, reduced mental well-being Fire Safety Inaccessible exits, lack of fire extinguisher Injury, property damage Health & Hygiene Poor ventilation, inadequate first ai...

Beginners guide for using the Machine Learning and/or AI tools on google.colab for a complete beginner:  AI and ML is all about analysing data so first you need to decide what kind of data you want to analyse. ( I refer you back to my previous blog post beginners guide to AI and ML terms. .) Basically do you want to analyse numerical data , text or images ? On this occasion I’m going to keep it simple and create some data visualisations  (graphs) You can get free open source data from this website kaggle.com I downloaded this file in .csv format: s-p-500-time-series-forecasting-with-prophet/input   Next find this website colab.research.google.com https://colab.research.google.com This is when you can go to chatgpt and ask it to write the code for google colab to analyse the data in  the way you want for example you could ask it to write the code to create a dataframe from that data:    Drag and drop the csv file into google.colab Change the labels s...

📶💻💹 Artificial Intelligence (AI) and Machine Learning (ML) are terms that are used by a lot of people but do you know about the technical nuts and bolts of how they actually work? If you don't that's OK, — I’ve broken down some of the most common terms you might hear in the world of AI/ML into simple explanations anyone can understand. Plus, if you're using Google Colab , there's a built-in AI assistant called Gemini that can help you understand and write code but you need to know the right questions to ask it first.   1. NLP (Natural Language Processing) 🎤🎧 NLP is a branch of AI that helps computers understand and work with human language. Think of it as the technology behind things like chatbots, language translators, and voice assistants like Siri or Alexa. It allows machines to “read” and make sense of text or speech, just like we do. 2. BERT (Bidirectional Encoder Representations from Transformers) BERT is a special AI model developed by Google that ...