A web based smart platform that would analyze historic patterns of a machine states using Natural Language Progressing (NLP) and predict the future downtime, along with the prediction of future production. Moreover, using NLP, downtime would be smartly categorized into sets of distinct issues or cau
Machines Trends Predictor
A web based smart platform that would analyze historic patterns of a machine states using Natural Language Progressing (NLP) and predict the future downtime, along with the prediction of future production. Moreover, using NLP, downtime would be smartly categorized into sets of distinct issues or causes of the problem, that would make it easy to diagnose the recurring issues and plan their effective resolution. Graphical interface would provide the users with clear and effective infographic results.
We are using waterfall model in our project plus Long Short Term Memory (LSTM) Model of Machine Learning for prediction of downtime. Django framework will be used for development.
Innovation is continually advancing, with new technology continually developing to take care of issues and inefficiencies that the organizations may not know about. Machines Trends Predictor is an online platform that would analyze and predict the future downtime providing the following benefits:
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| GPU (GEFORCE RTX 2080) | Equipment | 1 | 70000 | 70000 |
| Web Hosting, Data gathering and Processing | Miscellaneous | 1 | 10000 | 10000 |
| Total in (Rs) | 80000 |
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