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I am working on a concept of mainly "Preventive Maintenance using Sensors" For this I will Import sensors from China; Install at factories and Charge monitoring subscription in Maharashtra. I want guidance on below -- Which sensors to buy from these ones (dont want hypothetical answers like alibaba and some listed companies over it - that ChatGPT also gives: vibration sensors; temperature sensors; motor monitoring devices. Need exact compaby and specification and to which cloud platform as well as dashboard it would be fit for AI monitoring remotely. No ChatGPT answer please - I want someone who have actually worked on it or knows end-to-end. Next: Sensors + Edge device + AI software - which one to use and how? Wireless Vibration Sensors; Motor Condition Monitoring Advanced Se...

I have a spreadsheet that tracks container-throughput from the Port to the ICD over time. I need a clean, reader-friendly report that tells the whole story hidden in those numbers. Scope of work First, lay out a solid descriptive analysis that covers total throughput and the day-to-day movement patterns. Next, build a predictive model so I can see how volumes may evolve in the near future. Finally, compare key periods and parameters to uncover how performance differs across time frames or operational variables. The descriptive section must highlight: • Total throughput • Daily trends • Trends specifically linked to Containers Received and any relationships you uncover between variables Deliverables • A written report (Word or PDF) summarising findings from the ...

I’m building a complete AI-driven platform that trades listed options for me end-to-end. The engine has to recognise and act on the full range of strategies I use—straight buying or selling of calls and puts, multi-leg spreads, straddles, strangles, and any automatic strategy the model itself flags as favourable. Core capabilities I need • Real-time market analysis that fuses live quotes with historical time-series data, news feeds, social-media sentiment and technical indicators such as Wave Trend, VWAP and similar momentum tools. • Automated trade execution through a broker API, with order staging, smart routing and position monitoring. • Built-in risk management covering position sizing, max-loss cut-offs, volatility shocks and margin checks before any or...

I need a single Excel workbook that lets my office staff, most of whom have only basic spreadsheet skills, run every day-to-day aspect of our small manufacturing unit. We make roughly 15–20 different products and I want each batch, sale, return, purchase, expense and salary entry captured in one place, then automatically summarised for quick decision-making alongside a convert to json (for single entry or the entries that we select or per day so that we can have a file that is ready to be uploaded on tally as well) and all the sheets of the work book should be interconnected so that we dont have to enter a single entry multiple times Core flow • A simple “daily entry” interface where staff can pick the date, choose the item, state quantities produced, sold or retu...

Freelance Writing Task: AI-Enhanced Project Management Platform (Smart Task Allocation & Scheduling) We are looking for an experienced freelance writer with strong knowledge of AI, SaaS, and business productivity tools to help us create compelling content for an AI-powered project management platform. Project Overview We are building an AI-enhanced project management platform that uses machine learning to: Automatically allocate tasks based on team skills, availability, and workload Optimize scheduling and deadlines Predict project risks and delays Improve productivity across industries The platform leverages AI to transform traditional project management into a smart, automated, data-driven system for modern businesses. Scope of Work We need a writer to: Develop a clear a...

I’m running a comparative genomic-selection study, benchmarking about ten prediction models that range from rrBLUP and GBLUP to Random Forest, LightGBM, CNN and ElasticNet. The experiments are in motion but the dataset keeps growing, so I’m looking for a research-minded intern who can jump in, work entirely in R, and keep me posted with regular, concise updates. Here’s where I need your help: • Data preprocessing & cleaning – imputation, SNP quality filters, population structure checks. • Model development & tuning – implement or refine the models above, explore hyper-parameter grids and suggest new algorithms when they make sense. • Performance evaluation & analysis – rigorous cross-validation, predictive-ability metric...

I need a purpose-built CRM for the strata industry that leans heavily on AI to wipe out repetitive admin and give committees, owners and managers instant insight. The solution must weave in predictive analytics to flag maintenance and arrears before they surface, natural language processing so residents can lodge requests or search by-laws in plain English, and automated data entry that lifts information straight from invoices, minutes and inspection reports. The underlying platform is your call—web, mobile, desktop or a hybrid—so long as it comfortably scales to thousands of lots and high concurrent traffic without performance dips. Core functional areas I have in mind: • Centralised contact & lot database with role-based access • Ticketing thread that auto-cl...