Recover and Restore a Python project from https://pypi.org on Client's PC
$30-250 USD
Cancelled
Posted about 5 years ago
$30-250 USD
Paid on delivery
Via Anydesk or TeamViewer, the selected Python programmer will Recover and Restore a Python project from [login to view URL] onto my computer. The [login to view URL] link will be sent to the developer before project starts. It must be fully functioning on my PC to achieve its stated objectives in the [login to view URL] Project.
Pre-requisite requirement:
Before this, however, the Python programmer must show that he can successfully obtain the same [login to view URL] results onto his or her own Desktop, to prove that he can reproduce the same outcomes on my PC.
Terms of our cooperation are as follows:
Milestones are kept until project is delivered complete to client. No early upfront release.
Only 50% milestone can be created upfront once if through demo, developer proves that on developer's PC he can produce a successful demo of the outcomes achieved.
Once the Build is also assembled on my PC via Teamviewer or Anydesk, then remaining 50% milestone is also uploaded to developer's account.
Exact url to the [login to view URL] Project will be sent to the bidders.
Hello,
I'm good with Python and have much experience in installing Pathon libraries from PyPi on Linux systems. You are looking for a install on a Linux system, right?
If you're interested in my assistance, open a chat so we can talk.
Best,
Jo Bergs
First:- Chatbot
--> This can be integrated by any Facebook page, Slack etc. Its main aim is to reduce the human effort.
For example, if this Chatbot is integrated with company page so it can easily answer you some basic questions about the company.
Second:- Word Predictor
--> This will be integrated with my Chatbot and it's an algorithm is such that it will learn according to previous input given and then It will suggest the next question and next word accordingly.
Third:- Comment Checker
--> This has a huge set of words inbuilt with its degree and level and it will analyze each comment and according to that it can give the report or if any inappropriate comment is taken it can forward to the authority.
Speech Recognisation
Train the database using deep learning,
doing language model and lexical model for Arabic , adding functions to increase different types of noise at different levels as the picture shows. Then we notice the results.