Prediction models with web UI, dashboard, Django, Posgresql

I'm wanting a prediction program made. With a really nice UI and lots of cool features.

It would be used for a variety of uses and would generate it's data from a prediction poll using a pool of users. This data could be entered manually, or imported in, or later be fed to database with a scraper.

It would allow for a group of individual bots/agents that make predictions on the outcome of events. I'm wanting to record and analyze the predictions from these agents to see if they know more than they think they know, or know more in combination somehow with other agents to make more accurate predictions together than they could on their own. It could potentially use weighted data or give more points to a certain agents prediction on an event because of past history in a similar situation.

For example: Agent 1 predicts that it will rain today, Agent 2 predicts that it won't rain today. However from our historical data we can see that Agent 1 isn't very good at guessing when it is going to ran when guessing on Saturdays for whatever reason and only has a 25% accuracy out of 50 tracked predictions. And Agent 2 predicts that it will rain with a greater percentage accuracy and so far out of 100 predictions has guessed that it would rain with 75% accuracy. Agents 3-50 also have their own prediction records for if it will rain today or not. I want to be able to track the accuracy of each agent for each outcome over time and build models to play around with. It would track things like how often each agent predicted correctly for each day of the week, and how often they picked a particular outcome. For example Agent 3 might always say it's going to rain on Wednesdays but is only right 55% of the time.

There could be hidden data that might show that Agents 2 & 7 predicts overall with accuracy of 75% each. However on days that they both match up and say the same thing then it rains 85% of the time.

django/python 3.6 with bootstrap built on rest api, Nginx, react.js, responsive site, green unicorn. (not all tech maybe required for this job)

Depending on which version you use you may need install it in a virtual environment using virtual EnV

all of our server are running Ubuntu/Linux Server 18.04 or 16.04 at the earliest

No Docker. You may use our server for development or not. Either way it needs to be installed as part of this job when completed.

Relational database if required use Posgresql only.

Please do not edit main server files, just change settings in your virtual environment only.

Beceriler: Django, Python

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İşveren Hakkında:
( 10 değerlendirme ) Oak Ridge, United States

Proje NO: #18994977

Bu iş için 6 freelancer ortalamada $284 teklif veriyor


Hello, I have gone through your job posting and become very much interested to work with you. I am an expert in this field. I have already completed several projects like this. For evidence you can see my profile. Daha Fazla

$350 USD in 4 gün içinde
(29 Değerlendirme)

Hello Very interested in your project I have 10+ years of Django/Python experience. Also very familiar with linux/ubuntu and postgresql. Let's have a talk for more detail Thanks

$555 USD in 3 gün içinde
(10 Değerlendirme)

Hi johnmpackard, I am highly proficient at building and customizing themes & plugins and also have an in depth understanding of PHP and its major CMS and frameworks. Best regards, Michael

$264 USD in 4 gün içinde
(11 Değerlendirme)

Hi, Hope you are doing well! I am python/Django developing expert and have experienced a lot with python/Django development ... This project is very interesting for me and perfect fit with my skills. I am available Daha Fazla

$133 USD in 3 gün içinde
(2 Değerlendirme)

Hello,your project seems interesting, will you use ML also for prediction? I am an experienced django developer,i would love to work in this project. I am good at frontend too. Feel free to message me

$250 USD in 5 gün içinde
(5 Değerlendirme)

I made a project where a SPAM detection model was trained and used Amazon API gateway to host the API and used Django to display the results(SPAM or HAM) given the email auth key for the particular user. So, I think I Daha Fazla

$150 USD in 5 gün içinde
(0 Değerlendirme)