Machine learning using prediction model to forecast number range

I am looking for a developer who is able to develop a ML solution for me based on static numeric data and output predictions. Some aspects of the project:
- Much like a lotto based project
- Data set is a closed group consisting of 40 individual numbers (1 - 80)
- A new data set is produced every 3 minutes
- Solution will need to take into account current data, calculate prediction and output prediction to an easy to read console window or file before the next data set will be drawn
- Data set is divided into 2 groups (Group1: 1 - 40. Group 2: 41 - 80)
- Data will need to be extracted from a website (removed by Toogit admin)

This will likely be seen as an ongoing project with continuous development.

Deliverables:
- Prediction model needs to be accurate to at least 50% constantly over a period of time
- Predictions need to be made visible via file or console before new draw starts
- Clear instructions will need to be provided on how to use
- Solution will need to automatically read data from website. No user input of data
About the recuiter
Member since May 20, 2018
Raj Kumar
from Otjozondjupa, Namibia

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