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Sundaram Dubey maze-runnar

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maze-runnar / GSoC21-work-product.md
Last active August 20, 2021 01:54

Sundaram Dubey | @maze-runnar | ORGANIZATION: DIAL

(Sub Organization - FOSSASIA)

Overview:

In this summer period, I worked on FOSSASIA's Open Event projects (comprising of Open Event Server and Open Event Frontend). The Open Event , popularly know as Eventyay, is an open sourced event management platform which enables users to host conferences and various kinds of meet-ups and helps them customize their event according to their requirements. Sophisticated features like tickets, payment collections, groups and call for speakers have been provided and can be further fine tuned into several tracks, venues and sessions etc.

@maze-runnar
maze-runnar / README.md
Created August 11, 2020 11:36 — forked from hofmannsven/README.md
Git Cheatsheet
@maze-runnar
maze-runnar / docker-help.md
Created July 20, 2020 12:41 — forked from bradtraversy/docker-help.md
Docker Commands, Help & Tips

Docker Commands, Help & Tips

Show commands & management commands

$ docker

Docker version info

@maze-runnar
maze-runnar / gitcom.md
Created July 2, 2020 16:10 — forked from jednano/gitcom.md
Common git commands in a day-to-day workflow

Git Cheat Sheet

Initial Setup

Initialize a repo

Create an empty git repo or reinitialize an existing one

git init
@maze-runnar
maze-runnar / load.py
Created May 28, 2020 12:58
from joblib import dump , load
## dump your model
model1 = dump(your_mode_name)
#load your model
clf = load('model1.joblib')
@maze-runnar
maze-runnar / model.py
Created May 28, 2020 12:55
from joblib import load, dump
#dump your model
model1 = dump(your_model_name)
## loading the joblib model
clf = load('/home/saurabh/Desktop/smsspamcollection/frontend/model1.joblib')
@maze-runnar
maze-runnar / app.py
Created May 28, 2020 12:42
import requests
from flask import Flask, request,render_template
import sys
app = Flask(__name__)
app.config['DEBUG'] = True
// Your view goes here
if __name__ == "__main__":
app.run(debug = True)
@maze-runnar
maze-runnar / sample.py
Created May 27, 2020 17:26
from sklearn import svmprediction = clf.classify_many(my_msg) ## make your prediction here
from joblib import dump, load
## loading the model
clf = load('/home/saurabh/Desktop/smsspamcollection/frontend/model1.joblib')
@app.route('/', methods = ["GET","POST"])
def index():
if(request.method == "POST"):
#city = request.form['city']
text_msg = request.form['sms']
my_msg = find_features(text_msg)
@maze-runnar
maze-runnar / mainpage.html
Created May 27, 2020 17:21
<html>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1">
<link href="//maxcdn.bootstrapcdn.com/bootstrap/4.1.1/css/bootstrap.min.css" rel="stylesheet" id="bootstrap-css">
<script src="//maxcdn.bootstrapcdn.com/bootstrap/4.1.1/js/bootstrap.min.js"></script>
<script src="//cdnjs.cloudflare.com/ajax/libs/jquery/3.2.1/jquery.min.js"></script>
<! - - - Include the above in your HEAD tag - - - - →
<link rel="stylesheet" href="https://use.fontawesome.com/releases/v5.1.0/css/all.css" integrity="sha384-lKuwvrZot6UHsBSfcMvOkWwlCMgc0TaWr+30HWe3a4ltaBwTZhyTEggF5tJv8tbt" crossorigin="anonymous">
<div class="container">
<style>
@maze-runnar
maze-runnar / fapp.py
Created May 27, 2020 17:19
import requests
from flask import Flask, request,render_template
import sys
import nltk
import sklearn
import pandas
import numpy
import pandas as pd
import numpy as np
from sklearn.preprocessing import LabelEncoder