Project Evaluation Using Artificial Intelligence / Neural Networks

I am trying to create a tool that can estimate how many days a project will take to complete, given dozens or hundreds of factors and parameters.

I donโ€™t have much experience with artificial intelligence / neural networks / machine learning, but from my concepts itโ€™s good for pattern recognition. If I make an AI program and train it, giving it information about the projects that we have already completed (factors and the number of hours taken), it must learn to evaluate future projects.

Does anyone know if this is a realistic approach?

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Honestly, I think you would be better off creating an expert ANN for how long individual tasks may take . There will be more data, more often; which will increase the specialization of the system.

There are just a lot of factors in a general project so that it can accurately predict without a huge data set.

If the expert system is successful, you can link the ANN manager from above, who takes the total project time from all tasks (as ANN expert predicts) and some other project factors (for example, total number of employees, time of year, budget, etc.) and trained on this data from previous projects; and predicted from this.

Too much information can be made for very noisy data and insensitive output in extreme cases, especially in this case when they may be insufficient training data.

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Source: https://habr.com/ru/post/1386014/


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