Machines Trends Predictor

Project Title

Machines Trends Predictor

Project Area of Specialization Artificial IntelligenceProject Summary

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.

Project Objectives

1. To minimize downtime that cause delays.
2. To increase productivity to compete challenging industry.
3. To predict future outcomes that cause downtime.

Project Implementation Method

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.

Benefits of the Project

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:

1. Increase Productivity.
2. Minimize delays.
3. Increased revenue.

Technical Details of Final Deliverable

1. Natural Language processing to convert comment to a standard format with respect to error Code. (in dataset)
2. Live graphical visualization of previous data and the predicted one.
3. Reports generation including downtime and productivity report in certain timeline.

Final Deliverable of the Project Software SystemCore Industry ManufacturingOther IndustriesCore Technology Artificial Intelligence(AI)Other TechnologiesSustainable Development Goals Decent Work and Economic Growth, Industry, Innovation and InfrastructureRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	80000
GPU (GEFORCE RTX 2080)	Equipment	1	70000	70000
Web Hosting, Data gathering and Processing	Miscellaneous	1	10000	10000