kandi X-RAY | Hack-NIT Summary
kandi X-RAY | Hack-NIT Summary
Hack-NIT is a JavaScript library. Hack-NIT has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.
Hack-NIT
Hack-NIT
Support
Quality
Security
License
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Support
Hack-NIT has a low active ecosystem.
It has 0 star(s) with 0 fork(s). There are no watchers for this library.
It had no major release in the last 6 months.
Hack-NIT has no issues reported. There are 6 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of Hack-NIT is current.
Quality
Hack-NIT has no bugs reported.
Security
Hack-NIT has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
Hack-NIT does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
Reuse
Hack-NIT releases are not available. You will need to build from source code and install.
Installation instructions, examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of Hack-NIT
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of Hack-NIT
Hack-NIT Key Features
No Key Features are available at this moment for Hack-NIT.
Hack-NIT Examples and Code Snippets
No Code Snippets are available at this moment for Hack-NIT.
Community Discussions
No Community Discussions are available at this moment for Hack-NIT.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Hack-NIT
Host the flask server on NGROK server.
This will enable us to use the machine learning model in the chatbox.
Install NGROK using the command npm i ngrok.
To run the flask server ,go to the root directory of flask folder and run the command ngrok http 5000.
1)Go to Dialogflow website. 2)Import the zip file Boctor.zip. 3)Go to fullfillment and add the deployed website(heroku) url. 4)Go to chatbot-hackwithcw\app.js line no 1103 and line no. 963 and add the ngrok link of flask Api.
This will enable us to use the machine learning model in the chatbox.
Install NGROK using the command npm i ngrok.
To run the flask server ,go to the root directory of flask folder and run the command ngrok http 5000.
1)Go to Dialogflow website. 2)Import the zip file Boctor.zip. 3)Go to fullfillment and add the deployed website(heroku) url. 4)Go to chatbot-hackwithcw\app.js line no 1103 and line no. 963 and add the ngrok link of flask Api.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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