├── CODE_OF_CONDUCT.md ├── Data and ML model ├── READ ME FIRST.txt ├── data_2014_2017_prepared.csv └── ml_model.py ├── README.md ├── db.sqlite3 ├── main ├── __init__.py ├── __pycache__ │ ├── __init__.cpython-37.pyc │ ├── admin.cpython-37.pyc │ ├── apps.cpython-37.pyc │ ├── forms.cpython-37.pyc │ ├── ml_model.cpython-37.pyc │ ├── ml_model2.cpython-37.pyc │ ├── models.cpython-37.pyc │ ├── urls.cpython-37.pyc │ └── views.cpython-37.pyc ├── admin.py ├── apps.py ├── forms.py ├── migrations │ ├── __init__.py │ └── __pycache__ │ │ └── __init__.cpython-37.pyc ├── ml_model.py ├── models.py ├── static │ └── main │ │ ├── assets │ │ ├── img │ │ │ └── background │ │ │ │ ├── img-38.jpg │ │ │ │ └── img-55.jpg │ │ └── svg │ │ │ ├── icons.svg │ │ │ ├── play.svg │ │ │ ├── video-icon-dark.svg │ │ │ └── video-icon.svg │ │ ├── css │ │ ├── materialize.css │ │ └── slides.min.css │ │ ├── images │ │ ├── avatar_g.jpg │ │ ├── bridge.jpg │ │ ├── favicon.ico │ │ ├── neha.jpg │ │ ├── priya.jpg │ │ ├── samridhhi.jpg │ │ ├── satish.jpg │ │ ├── satyendra.jpg │ │ ├── under_construction.jpg │ │ └── woods.jpg │ │ └── js │ │ ├── materialize.min.js │ │ └── slides.min.js ├── templates │ └── main │ │ ├── about.html │ │ ├── header.html │ │ ├── includes │ │ ├── messaging.html │ │ ├── navbar.html │ │ └── navbar_buttons.html │ │ ├── index1.html │ │ ├── index2.html │ │ ├── predict.html │ │ └── under_construction.html ├── testing.py ├── tests.py ├── urls.py ├── views.py └── xgboost_model.pkl ├── manage.py ├── requirements.txt └── ttps ├── __init__.py ├── __pycache__ ├── __init__.cpython-37.pyc ├── settings.cpython-37.pyc ├── urls.cpython-37.pyc └── wsgi.cpython-37.pyc ├── settings.py ├── urls.py └── wsgi.py /CODE_OF_CONDUCT.md: -------------------------------------------------------------------------------- 1 | # Contributor Covenant Code of Conduct 2 | 3 | ## Our Pledge 4 | 5 | In the interest of fostering an open and welcoming environment, we as 6 | contributors and maintainers pledge to making participation in our project and 7 | our community a harassment-free experience for everyone, regardless of age, body 8 | size, disability, ethnicity, sex characteristics, gender identity and expression, 9 | level of experience, education, socio-economic status, nationality, personal 10 | appearance, race, religion, or sexual identity and orientation. 11 | 12 | ## Our Standards 13 | 14 | Examples of behavior that contributes to creating a positive environment 15 | include: 16 | 17 | * Using welcoming and inclusive language 18 | * Being respectful of differing viewpoints and experiences 19 | * Gracefully accepting constructive criticism 20 | * Focusing on what is best for the community 21 | * Showing empathy towards other community members 22 | 23 | Examples of unacceptable behavior by participants include: 24 | 25 | * The use of sexualized language or imagery and unwelcome sexual attention or 26 | advances 27 | * Trolling, insulting/derogatory comments, and personal or political attacks 28 | * Public or private harassment 29 | * Publishing others' private information, such as a physical or electronic 30 | address, without explicit permission 31 | * Other conduct which could reasonably be considered inappropriate in a 32 | professional setting 33 | 34 | ## Our Responsibilities 35 | 36 | Project maintainers are responsible for clarifying the standards of acceptable 37 | behavior and are expected to take appropriate and fair corrective action in 38 | response to any instances of unacceptable behavior. 39 | 40 | Project maintainers have the right and responsibility to remove, edit, or 41 | reject comments, commits, code, wiki edits, issues, and other contributions 42 | that are not aligned to this Code of Conduct, or to ban temporarily or 43 | permanently any contributor for other behaviors that they deem inappropriate, 44 | threatening, offensive, or harmful. 45 | 46 | ## Scope 47 | 48 | This Code of Conduct applies both within project spaces and in public spaces 49 | when an individual is representing the project or its community. Examples of 50 | representing a project or community include using an official project e-mail 51 | address, posting via an official social media account, or acting as an appointed 52 | representative at an online or offline event. Representation of a project may be 53 | further defined and clarified by project maintainers. 54 | 55 | ## Enforcement 56 | 57 | Instances of abusive, harassing, or otherwise unacceptable behavior may be 58 | reported by contacting the project team at ramp0284@gmail.com. All 59 | complaints will be reviewed and investigated and will result in a response that 60 | is deemed necessary and appropriate to the circumstances. The project team is 61 | obligated to maintain confidentiality with regard to the reporter of an incident. 62 | Further details of specific enforcement policies may be posted separately. 63 | 64 | Project maintainers who do not follow or enforce the Code of Conduct in good 65 | faith may face temporary or permanent repercussions as determined by other 66 | members of the project's leadership. 67 | 68 | ## Attribution 69 | 70 | This Code of Conduct is adapted from the [Contributor Covenant][homepage], version 1.4, 71 | available at https://www.contributor-covenant.org/version/1/4/code-of-conduct.html 72 | 73 | [homepage]: https://www.contributor-covenant.org 74 | 75 | For answers to common questions about this code of conduct, see 76 | https://www.contributor-covenant.org/faq 77 | -------------------------------------------------------------------------------- /Data and ML model/READ ME FIRST.txt: -------------------------------------------------------------------------------- 1 | This section contains python file of Machine Learning Model for testing purposes, here original preprocessed data of 2 | 2 years also present. 3 | 4 | This python file is well customized so that anyone can run it on local machine without jupyter notebook for a single 5 | row prediction. -------------------------------------------------------------------------------- /Data and ML model/ml_model.py: -------------------------------------------------------------------------------- 1 | import sys 2 | import os 3 | import numpy as np 4 | import pandas as pd 5 | import sklearn as sk 6 | from collections import defaultdict, Counter 7 | from sklearn.model_selection import train_test_split 8 | import xgboost as xgb 9 | 10 | 11 | # The first step is 12 | # to get our machine learning dataset: 13 | # 14 | 15 | 16 | def logic_layer(x): 17 | 18 | # preparation_steps = [] 19 | # preparation_output_schema = {u'userModified': False, u'columns': [{u'type': u'bigint', u'name': u'year'}, {u'type': u'bigint', u'name': u'quarter'}, {u'type': u'bigint', u'name': u'market'}, {u'type': u'bigint', u'name': u'dur_stay'}, {u'type': u'bigint', u'name': u'mode'}, {u'type': u'bigint', u'name': u'purpose'}, {u'type': u'double', u'name': u'Visits (000s)'}, {u'type': u'double', u'name': u'Spend (\xa3m)'}]} 20 | 21 | workpath = os.path.dirname(os.path.abspath(__file__)) #Returns the Path your .py file is in 22 | 23 | ml_dataset_handle = pd.read_csv(os.path.join(workpath, 'data_2014_2017_prepared.csv')) 24 | # ml_dataset_handle.set_preparation_steps(preparation_steps, preparation_output_schema) 25 | ml_dataset = ml_dataset_handle 26 | 27 | # print ('Base data has %i rows and %i columns' % (ml_dataset.shape[0], ml_dataset.shape[1])) 28 | # Five first records", 29 | # ml_dataset.head(5) 30 | 31 | 32 | 33 | 34 | 35 | ml_dataset = ml_dataset[[u'quarter', u'Visits (000s)', u'mode', u'purpose', u'year', u'dur_stay', u'market', u'Spend (\xa3m)']] 36 | 37 | 38 | 39 | ml_dataset['__target__'] = ml_dataset['Visits (000s)'] 40 | del ml_dataset['Visits (000s)'] 41 | 42 | 43 | # Remove rows for which the target is unknown. 44 | ml_dataset = ml_dataset[~ml_dataset['__target__'].isnull()] 45 | 46 | 47 | 48 | def coerce_to_unicode(x): 49 | if sys.version_info < (3, 0): 50 | if isinstance(x, str): 51 | return unicode(x,'utf-8') 52 | else: 53 | return unicode(x) 54 | else: 55 | return str(x) 56 | 57 | 58 | a = pd.DataFrame(columns = ['quarter', 'mode','purpose','year','dur_stay','market', 'Spend (£m)', '__target__']) 59 | a.loc[0]= x 60 | 61 | 62 | 63 | # train, test = train_test_split(ml_dataset, test_size=0.0) 64 | train = ml_dataset 65 | test = a 66 | # print ('Train data has %i rows and %i columns' % (train.shape[0], train.shape[1])) 67 | # print ('Test data has %i rows and %i columns' % (test.shape[0], test.shape[1])) 68 | # train = ml_dataset 69 | 70 | 71 | 72 | drop_rows_when_missing = [] 73 | impute_when_missing = [{'impute_with': u'MEAN', 'feature': u'quarter'}, {'impute_with': u'MEAN', 'feature': u'mode'}, {'impute_with': u'MEAN', 'feature': u'purpose'}, {'impute_with': u'MEAN', 'feature': u'year'}, {'impute_with': u'MEAN', 'feature': u'dur_stay'}, {'impute_with': u'MEAN', 'feature': u'market'}, {'impute_with': u'MEAN', 'feature': u'Spend (\xa3m)'}] 74 | 75 | # Features for which we drop rows with missing values" 76 | for feature in drop_rows_when_missing: 77 | train = train[train[feature].notnull()] 78 | test = test[test[feature].notnull()] 79 | # print ('Dropped missing records in %s' % feature) 80 | 81 | # Features for which we impute missing values" 82 | for feature in impute_when_missing: 83 | if feature['impute_with'] == 'MEAN': 84 | v = train[feature['feature']].mean() 85 | elif feature['impute_with'] == 'MEDIAN': 86 | v = train[feature['feature']].median() 87 | elif feature['impute_with'] == 'CREATE_CATEGORY': 88 | v = 'NULL_CATEGORY' 89 | elif feature['impute_with'] == 'MODE': 90 | v = train[feature['feature']].value_counts().index[0] 91 | elif feature['impute_with'] == 'CONSTANT': 92 | v = feature['value'] 93 | train[feature['feature']] = train[feature['feature']].fillna(v) 94 | test[feature['feature']] = test[feature['feature']].fillna(v) 95 | # print ('Imputed missing values in feature %s with value %s' % (feature['feature'], coerce_to_unicode(v))) 96 | 97 | 98 | 99 | 100 | rescale_features = {u'dur_stay': u'AVGSTD', u'mode': u'AVGSTD', u'Spend (\xa3m)': u'AVGSTD', u'year': u'AVGSTD', u'quarter': u'AVGSTD', u'market': u'AVGSTD', u'purpose': u'AVGSTD'} 101 | for (feature_name, rescale_method) in rescale_features.items(): 102 | if rescale_method == 'MINMAX': 103 | _min = train[feature_name].min() 104 | _max = train[feature_name].max() 105 | scale = _max - _min 106 | shift = _min 107 | else: 108 | shift = train[feature_name].mean() 109 | scale = train[feature_name].std() 110 | if scale == 0.: 111 | del train[feature_name] 112 | del test[feature_name] 113 | # print ('Feature %s was dropped because it has no variance' % feature_name) 114 | else: 115 | # print ('Rescaled %s' % feature_name) 116 | train[feature_name] = (train[feature_name] - shift).astype(np.float64) / scale 117 | test[feature_name] = (test[feature_name] - shift).astype(np.float64) / scale 118 | 119 | 120 | 121 | train_X = train.drop('__target__', axis=1) 122 | test_X = test.drop('__target__', axis=1) 123 | 124 | train_Y = np.array(train['__target__']) 125 | test_Y = np.array(test['__target__']) 126 | 127 | clf = xgb.XGBRegressor( 128 | max_depth=10, 129 | learning_rate=0.1, 130 | gamma=0.0, 131 | min_child_weight=0.0, 132 | max_delta_step=0.0, 133 | subsample=1.0, 134 | colsample_bytree=0.75, 135 | colsample_bylevel=1.0, 136 | reg_alpha=0.0, 137 | reg_lambda=1.0, 138 | n_estimators=300, 139 | silent=0, 140 | nthread=4, 141 | scale_pos_weight=1.0, 142 | base_score=0.5, 143 | seed=1337, 144 | missing=None, 145 | ) 146 | 147 | 148 | 149 | # %time 150 | clf.fit(train_X, train_Y) 151 | 152 | 153 | 154 | # a = pd.DataFrame(columns = ['quarter', 'mode','purpose','year','dur_stay','market', 'Spend (£m)']) 155 | 156 | 157 | 158 | 159 | # a['quarter'] = -1.380899 160 | # a['mode'] = -0.638146 161 | # a['purpose'] = 1.315741 162 | # a['year'] = -1.325480 163 | # a['dur_stay'] = -0.231486 164 | # a['market'] = 0.081364 165 | # a['Spend (£m)'] = -0.319305 166 | 167 | 168 | # x = [-1.380899, -0.638146, 1.315741, -1.325480, -0.231486, 0.081364, -0.319305] 169 | 170 | 171 | 172 | _predictions = clf.predict(test_X) 173 | predictions = pd.Series(data=_predictions, index=test_X.index, name='predicted_value') 174 | return int(round(predictions * 1000)) 175 | 176 | 177 | 178 | 179 | if __name__ == "__main__": 180 | x = [-1.380899, -0.638146, 1.315741, -1.325480, -0.231486, 0.081364, -0.319305, 0.380] 181 | y = [3, 3, 2, 2016, 7, 5, 0.897155, 3.556813] 182 | print(logic_layer(y)) 183 | input() -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # ttps (Tourism and Travells Prediction System) 2 | This is a machine learning based project in which a trained ML model has been integrated with Django web application. This project intented to predict tourist based on given information from user. 3 | 4 | ## Running the project 5 | 6 | - Install the requirements by: `pip install -r requirements.txt` 7 | - Run migrations : `python manage.py migrate` 8 | - Run the server: `python manage.py runserver` 9 | 10 | Visit http://localhost:8000/ for accessing the website 11 | 12 | -------------------------------------------------------------------------------- /db.sqlite3: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Risk-taker0501/Django_ML_Project/9111f120f5e7648bc6e23ba60232437ad29bd62c/db.sqlite3 -------------------------------------------------------------------------------- /main/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Risk-taker0501/Django_ML_Project/9111f120f5e7648bc6e23ba60232437ad29bd62c/main/__init__.py 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-------------------------------------------------------------------------------- 1 | from django import forms 2 | from django.core.validators import MinLengthValidator, MinValueValidator, MaxValueValidator 3 | 4 | 5 | class ContactForm(forms.Form): 6 | subject = forms.CharField(max_length=100) 7 | message = forms.CharField(widget=forms.Textarea) 8 | sender = forms.EmailField() 9 | cc_myself = forms.BooleanField(required=False) 10 | 11 | COUNTRY_CHOICES=[ 12 | ('0', 'Select Country'), 13 | ('1', 'France'), 14 | ('2', 'Germany'), 15 | ('3', 'USA'), 16 | ('4', 'Netherlands'), 17 | ('5', 'Belgium'), 18 | ('6', 'Irish Republic'), 19 | ('7', 'Australia'), 20 | ('8', 'Canada'), 21 | ('9', 'Italy'), 22 | ('10', 'Spain'), 23 | ('11', 'Switzerland'), 24 | ('12', 'Norway'), 25 | ('13', 'Japan'), 26 | ('14', 'Poland'), 27 | ('15', 'South Africa'), 28 | ('16', 'Denmark'), 29 | ('17', 'Central & South America'), 30 | ('18', 'Russia'), 31 | ('19', 'New Zealand'), 32 | ('20', 'Sweden'), 33 | ('21', 'India'), 34 | ('22', 'Hong Kong'), 35 | ('23', 'Portugsl'), 36 | ('24', 'Austria'), 37 | ('25', 'Greece'), 38 | ('26', 'Israel'), 39 | ('27', 'Middle East'), 40 | ('28', 'Other Africa'), 41 | ('29', 'Other Western Europe'), 42 | ('30', 'Other Asia'), 43 | ('31', 'Brazil'), 44 | ('32', 'Eastern Europe'), 45 | ('33', 'United Arab Emirates'), 46 | ('34', 'Singapore'), 47 | ('35', 'Czech Republic'), 48 | ('36', 'Malasia'), 49 | ('37', 'Saudi Arabia'), 50 | ('38', 'Nigeria'), 51 | ('39', 'Finland'), 52 | ('40', 'South Korea'), 53 | ('41', 'Mexico'), 54 | ('42', 'China'), 55 | ('43', 'Hungary'), 56 | ('44', 'Pakistan'), 57 | ('45', 'Turkey'), 58 | ('46', 'Thailand'), 59 | ('47', 'Egypt'), 60 | ('48', 'Taiwan'), 61 | ('49', 'Kenya'), 62 | ('50', 'Kuwait'), 63 | ('51', 'Other Eastern Europe'), 64 | ('52', 'Romania')] 65 | 66 | QUARTER_CHOICES = [ 67 | ('0', 'Select Quarter'), 68 | ('1', 'January-March'), 69 | ('2', 'April-June'), 70 | ('3', 'July-September'), 71 | ('4', 'October-December'), 72 | ] 73 | 74 | PURPOSE_CHOICES = [ 75 | ('0', 'Select Purpose'), 76 | ('1', 'Holiday'), 77 | ('2', 'VFR'), 78 | ('3', 'Business'), 79 | ('4', 'Miscellaneous'), 80 | ('5', 'Study') 81 | ] 82 | 83 | MODE_CHOICES = [ 84 | ('0', 'Select Travelling Mode'), 85 | ('1', 'Air'), 86 | ('2', 'Tunnel'), 87 | ('3', 'Sea') 88 | ] 89 | 90 | class TourismForm(forms.Form): 91 | year = forms.IntegerField(label="Year(eg.2020)", 92 | validators=[MinValueValidator(2000, message="Year is invalid!"), 93 | MaxValueValidator(9999, message="Please provide 4 digit year!")],) 94 | duration = forms.IntegerField(label="Duration(days)", validators=[MinValueValidator(1, message="Duration: Minimum 1 day required!")]) 95 | spends = forms.FloatField(label="Spends in $", validators=[MinValueValidator(0.1, message="Spends: Free m Nahi Milega!"), MaxValueValidator(150000, message="Spends shouldn't be exceed 150K $")],) 96 | mode = forms.CharField(label="Mode", widget=forms.Select(choices=MODE_CHOICES)) 97 | purpose = forms.CharField(label="Purpose", widget=forms.Select(choices=PURPOSE_CHOICES)) 98 | quarter = forms.CharField(label="Quarter", widget=forms.Select(choices=QUARTER_CHOICES), ) 99 | country = forms.CharField(label="Country", widget=forms.Select(choices=COUNTRY_CHOICES)) 100 | -------------------------------------------------------------------------------- /main/migrations/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Risk-taker0501/Django_ML_Project/9111f120f5e7648bc6e23ba60232437ad29bd62c/main/migrations/__init__.py -------------------------------------------------------------------------------- /main/migrations/__pycache__/__init__.cpython-37.pyc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Risk-taker0501/Django_ML_Project/9111f120f5e7648bc6e23ba60232437ad29bd62c/main/migrations/__pycache__/__init__.cpython-37.pyc -------------------------------------------------------------------------------- /main/ml_model.py: -------------------------------------------------------------------------------- 1 | import sys 2 | import os 3 | import numpy as np 4 | import pandas as pd 5 | import sklearn as sk 6 | from sklearn.model_selection import train_test_split 7 | import xgboost as xgb 8 | import pickle 9 | 10 | 11 | # The first step is to get our machine learning dataset: 12 | # 13 | 14 | 15 | def logic_layer(x): 16 | workpath = os.path.dirname(os.path.abspath(__file__)) #Returns the Path your .py file is in 17 | 18 | 19 | # it loads the trained model into environment which is saved in same directory named as "xgboost_model.pkl" 20 | with open(os.path.join(workpath, 'xgboost_model.pkl'), 'rb') as f: 21 | clf = pickle.load(f) 22 | f.close() 23 | 24 | # Here we prepare our data in form of dataframe, same as in trained model 25 | a = pd.DataFrame(columns = ['quarter', 'mode','purpose','year','dur_stay','market', 'Spend (£m)', '__target__']) 26 | a.loc[0]= x 27 | test = a 28 | 29 | 30 | # Here rescaling is done and scale_list, shift_list taken from the trained model dataset 31 | 32 | # {'dur_stay': 'AVGSTD', 'mode': 'AVGSTD', 'Spend (£m)': 'AVGSTD', 'year': 'AVGSTD', 'quarter': 'AVGSTD', 'market': 'AVGSTD', 'purpose': 'AVGSTD'} 33 | scale_list = [5.379134276573772, 0.7736738167983019, 11.59681989634353, 1.1145033162651958, 1.0864534579734633, 15.398829026436987, 1.2086502909550274] 34 | shift_list = [8.212411193272438, 1.494562853414528, 5.049435762574525, 2015.4791938523997, 2.5104393214441063, 20.881542699724516, 2.411845730027548] 35 | # both list taken from the training dataset's rescaling factor 36 | rescale_features = {u'dur_stay': u'AVGSTD', u'mode': u'AVGSTD', u'Spend (\xa3m)': u'AVGSTD', u'year': u'AVGSTD', u'quarter': u'AVGSTD', u'market': u'AVGSTD', u'purpose': u'AVGSTD'} 37 | for cnt, (feature_name, rescale_method) in enumerate(rescale_features.items()): 38 | test[feature_name] = (test[feature_name] - shift_list[cnt]).astype(np.float64) / scale_list[cnt] 39 | 40 | test_X = test.drop('__target__', axis=1) 41 | 42 | test_Y = np.array(test['__target__']) 43 | 44 | 45 | _predictions = clf.predict(test_X) 46 | predictions = pd.Series(data=_predictions, index=test_X.index, name='predicted_value') 47 | return int(round(predictions * 1000)) 48 | 49 | 50 | 51 | # This is used for testing purpose in local environment as x, y, z three datasets are given as example 52 | if __name__ == "__main__": 53 | x = [-1.380899, -0.638146, 1.315741, -1.325480, -0.231486, 0.081364, -0.319305, 0.380] 54 | y = [3, 3, 2, 2016, 7, 5, 0.897155, 3.556813] 55 | z = [3, 1, 1, 2016, 15, 11 ,8.235992, 6.062523] 56 | print(logic_layer(y)) 57 | input() 58 | 59 | -------------------------------------------------------------------------------- /main/models.py: -------------------------------------------------------------------------------- 1 | from django.db import models 2 | 3 | # Create your models here. 4 | -------------------------------------------------------------------------------- /main/static/main/assets/img/background/img-38.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Risk-taker0501/Django_ML_Project/9111f120f5e7648bc6e23ba60232437ad29bd62c/main/static/main/assets/img/background/img-38.jpg -------------------------------------------------------------------------------- /main/static/main/assets/img/background/img-55.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Risk-taker0501/Django_ML_Project/9111f120f5e7648bc6e23ba60232437ad29bd62c/main/static/main/assets/img/background/img-55.jpg -------------------------------------------------------------------------------- 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Mini/i.test(navigator.userAgent)&&(window.isMobile=!0),window.isMobile?$html.addClass("mobile"):$html.addClass("desktop"),window.isFirefox=navigator.userAgent.toLowerCase().indexOf("firefox")>-1,window.isSafari=/^((?!chrome).)*safari/i.test(navigator.userAgent),window.isChrome=/chrom(e|ium)/.test(navigator.userAgent.toLowerCase()),window.isChromeiOS=navigator.userAgent.match("CriOS"),window.isMSIE=navigator.userAgent.match("MSIE"),window.isEdge=navigator.userAgent.match("Edge"),window.isAndroid=navigator.userAgent.toLowerCase().indexOf("android")>-1,window.isiPad=null!==navigator.userAgent.match(/iPad/i),window.isWindows=navigator.platform.toUpperCase().indexOf("WIN")!==-1,window.isOSX=navigator.platform.toUpperCase().indexOf("MAC")!==-1,window.isLinux=navigator.platform.toUpperCase().indexOf("LINUX")!==-1,window.isSafari&&$html.addClass("safari"),window.isFirefox&&$html.addClass("firefox"),window.isChrome&&$html.addClass("chrome"),window.isMSIE&&$html.addClass("msie"),window.isEdge&&$html.addClass("edge"),window.isAndroid&&$html.addClass("android"),window.isWindows&&$html.addClass("windows"),window.isOSX&&$html.addClass("osx"),window.isLinux&&$html.addClass("linux"),window.isRetina=window.matchMedia&&(window.matchMedia("only screen and (min-resolution: 124dpi), only screen and (min-resolution: 1.3dppx), only screen and (min-resolution: 48.8dpcm)").matches||window.matchMedia("only screen and (-webkit-min-device-pixel-ratio: 1.3), only screen and (-o-min-device-pixel-ratio: 2.6/2), only screen and (min--moz-device-pixel-ratio: 1.3), only screen and (min-device-pixel-ratio: 1.3)").matches)||window.devicePixelRatio&&window.devicePixelRatio>1.3,window.isRetina&&$html.addClass("retina"); -------------------------------------------------------------------------------- /main/templates/main/about.html: -------------------------------------------------------------------------------- 1 | {% extends 'main/header.html' %} 2 | {% block title %}About us | Developers!{% endblock %} 3 | {% block content %} 4 | 5 | 6 | 7 | 8 | 9 |
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    About Us

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    Welcome to the blog of Developers

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    23 | 24 | 25 |
    26 | 27 |
    28 | {% load static %} 29 | Nature 30 |
    31 |

    THIS PROJECT

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    Introduction to idea, July 5, 2019
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    The tours and travel prediction system is a web based application. The main purpose of “Tours and Travels Prediction System ” is to provide a convenient way for a customer to availability of book hotels, flight, train and bus for tour purposes on the basis of upcoming population prediction. 37 |

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    Comments   0

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    52 | Norway 53 |
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    BLOG ENTRY

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    Title description, July 2, 2019
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    Mauris neque quam, fermentum ut nisl vitae, convallis maximus nisl. Sed mattis nunc id lorem euismod placerat. Vivamus porttitor magna enim, ac accumsan tortor cursus at. Phasellus sed ultricies mi non congue ullam corper. Praesent tincidunt sed 60 | tellus ut rutrum. Sed vitae justo condimentum, porta lectus vitae, ultricies congue gravida diam non fringilla.

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    Comments   2

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    Team

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    Just we, exploring the universe of Django. We have a heart of love and a interest of Web Development and Data Analysis. We want to share our world with you.

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    Developers

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    • 93 | Image 94 | Neha Dubey
      95 | CSED UCEM 96 |
      • 97 |
    • 98 | Image 99 | Priya Srivastava
      100 | CSED UCEM 101 |
      • 102 |
    • 103 | Image 104 | Samridhhi Srivastava
      105 | CSED UCEM 106 |
      • 107 |
    • 108 | Image 109 | Satish Kr Yadav
      110 | CSED UCEM 111 |
      • 112 |
    • 113 | Image 114 | Satyendra Giri
      115 | CSED UCEM 116 |
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    131 | 132 | {% endblock %} -------------------------------------------------------------------------------- /main/templates/main/header.html: -------------------------------------------------------------------------------- 1 |  2 | 3 | 4 | 5 | 6 | 7 | {% load static %} 8 | 9 | {% block title %}{% endblock %} 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 | 21 | 22 | 23 | 24 | 25 | 26 | 27 | 28 | 29 | 30 | 46 | 47 | 48 | 49 | 50 | 51 | 52 | 53 | 54 | 55 | 56 | 57 | {% include 'main/includes/messaging.html' %} 58 | 59 | {% include 'main/includes/navbar.html' %} 60 | 61 | {% block content %} 62 | 63 | {% endblock %} 64 | 65 | 66 | 67 | 68 | 69 | -------------------------------------------------------------------------------- /main/templates/main/includes/messaging.html: -------------------------------------------------------------------------------- 1 | {% if messages %} 2 | {% for message in messages %} 3 | {% if message.tags == 'success'%} 4 | 5 | {% elif message.tags == 'info'%} 6 | 7 | {% elif message.tags == 'warning'%} 8 | 9 | {% elif message.tags == 'error'%} 10 | 11 | {% endif %} 12 | {% endfor %} 13 | {% endif %} 14 | 15 | -------------------------------------------------------------------------------- /main/templates/main/includes/navbar.html: -------------------------------------------------------------------------------- 1 | 2 |
    3 | 13 |
    14 | 15 | 16 |
      17 | {% include 'main/includes/navbar_buttons.html' %} 18 |
    -------------------------------------------------------------------------------- /main/templates/main/includes/navbar_buttons.html: -------------------------------------------------------------------------------- 1 |
  • homeHome
    • 2 | 3 | 4 | {% if user.is_authenticated %} 5 | 6 |
  • 7 | {{user.username}} 8 | 9 | 10 | 18 |
    • 19 | 20 |
  • group_workLogout
    • 22 | 23 | {% else %} 24 |
  • helpHow-to-use
    • 25 |
  • group_workLogin
    • 27 |
  • domainAbout
    • 28 | {% endif %} -------------------------------------------------------------------------------- /main/templates/main/index1.html: -------------------------------------------------------------------------------- 1 | {% extends 'main/header.html' %} 2 | {% block title %}Home{% endblock %} 3 | 4 | {% block content %} 5 | {% load static %} 6 | 7 |
    8 |
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    12 | 13 |

    14 | 15 |

    Tours And Travels Prediction System

    16 |
    17 |
    Feel The Power Of Machine Learning And Grab The Market . 18 | Get the fastest result with 93.5% accuracy 19 |
    20 | 21 |

    22 |
    23 | Get Started 24 |
    25 |
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    29 | 30 |
    31 |
    32 | {% endblock %} 33 | -------------------------------------------------------------------------------- /main/templates/main/index2.html: -------------------------------------------------------------------------------- 1 | {% extends 'main/header.html' %} 2 | {% block title %}To be{% endblock %} 3 | 4 | {% block content %} 5 | {% load static %} 6 | 7 |
    8 |
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    13 |
    14 |
    15 | {% csrf_token %} 16 | {{ form}} 17 | 18 | 19 | 20 |
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    29 | 30 |
    31 | {% endblock %} 32 | -------------------------------------------------------------------------------- /main/templates/main/predict.html: -------------------------------------------------------------------------------- 1 | {% extends 'main/header.html' %} 2 | {% block title %}Prediction{% endblock %} 3 | 4 | {% block content %} 5 | {% load static %} 6 | 7 |
    8 |
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    11 | 12 |
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    14 |

    The tourist expected are: {{tourist}}

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    29 | 30 |
    31 | {% endblock %} 32 | -------------------------------------------------------------------------------- /main/templates/main/under_construction.html: -------------------------------------------------------------------------------- 1 | {% extends 'main/header.html' %} 2 | {% block title %}Stop | Under Construction{% endblock %} 3 | 4 | {% block content %} 5 |

    {{pagename}}

    6 |
    7 | 8 | {% load static %} 9 | 10 | 11 |
    12 | {% endblock %} -------------------------------------------------------------------------------- /main/testing.py: -------------------------------------------------------------------------------- 1 | import ml_model 2 | 3 | x = [-1.380899, -0.638146, 1.315741, -1.325480, -0.231486, 0.081364, -0.319305, 0.380] 4 | print(ml_model.logic_layer(x)) 5 | input() 6 | input() 7 | input() -------------------------------------------------------------------------------- /main/tests.py: -------------------------------------------------------------------------------- 1 | from django.test import TestCase 2 | 3 | # Create your tests here. 4 | -------------------------------------------------------------------------------- /main/urls.py: -------------------------------------------------------------------------------- 1 | from django.urls import path 2 | from . import views 3 | 4 | app_name = "main" 5 | 6 | urlpatterns = [ 7 | path('', views.index, name="index"), 8 | path('index2', views.index2, name="index2"), 9 | path('predict', views.predict, name="predict"), 10 | path('about/', views.about, name="about"), 11 | path('under_construction', views.under_construction, name="under_construction"), 12 | ] 13 | -------------------------------------------------------------------------------- /main/views.py: -------------------------------------------------------------------------------- 1 | from django.shortcuts import render, redirect 2 | from django.http import HttpResponse, HttpResponseRedirect 3 | from .forms import ContactForm, TourismForm 4 | from .ml_model import logic_layer 5 | from django.contrib import messages 6 | # Create your views here. 7 | res = None 8 | 9 | def index(request): 10 | return render(request=request, 11 | template_name='main/index1.html') 12 | 13 | def predict(request): 14 | return render(request=request, 15 | template_name='main/predict.html', context={"tourist": res}) 16 | 17 | 18 | def index2(request): 19 | if request.method == 'POST': 20 | form = TourismForm(request.POST) 21 | 22 | if form.is_valid(): 23 | 24 | year = form.cleaned_data['year'] 25 | duration = form.cleaned_data['duration'] 26 | spends = form.cleaned_data['spends'] / 1000 27 | mode = int(form.cleaned_data['mode']) 28 | purpose = int(form.cleaned_data['purpose']) 29 | quarter = int(form.cleaned_data['quarter']) 30 | country = int(form.cleaned_data['country']) 31 | 32 | x = [quarter, mode, purpose, year, duration, country, spends, 0.38] 33 | global res 34 | res = logic_layer(x) 35 | return redirect("/predict") 36 | else: 37 | problem = form.errors.as_data() 38 | # This section is used to handle invalid data 39 | messages.error(request, list(list(problem.values())[0][0])[0]) 40 | form = TourismForm() 41 | form = TourismForm() 42 | return render(request=request, template_name='main/index2.html', context={"form": form}) 43 | 44 | 45 | def about(request): 46 | return render(request=request, 47 | template_name="main/about.html") 48 | 49 | 50 | def under_construction(request): 51 | messages.info(request, "This page coming soon..") 52 | return render(request=request, 53 | template_name="main/under_construction.html") -------------------------------------------------------------------------------- /main/xgboost_model.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Risk-taker0501/Django_ML_Project/9111f120f5e7648bc6e23ba60232437ad29bd62c/main/xgboost_model.pkl -------------------------------------------------------------------------------- /manage.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env python 2 | """Django's command-line utility for administrative tasks.""" 3 | import os 4 | import sys 5 | 6 | 7 | def main(): 8 | os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'ttps.settings') 9 | try: 10 | from django.core.management import execute_from_command_line 11 | except ImportError as exc: 12 | raise ImportError( 13 | "Couldn't import Django. Are you sure it's installed and " 14 | "available on your PYTHONPATH environment variable? Did you " 15 | "forget to activate a virtual environment?" 16 | ) from exc 17 | execute_from_command_line(sys.argv) 18 | 19 | 20 | if __name__ == '__main__': 21 | main() 22 | -------------------------------------------------------------------------------- /requirements.txt: -------------------------------------------------------------------------------- 1 | Django==2.2.4 2 | joblib==0.13.2 3 | numpy==1.16.4 4 | pandas==0.24.2 5 | python-dateutil==2.8.0 6 | pytz==2019.1 7 | scikit-learn==0.21.2 8 | scipy==1.3.0 9 | six==1.12.0 10 | sklearn==0.0 11 | sqlparse==0.3.0 12 | xgboost==0.90 13 | -------------------------------------------------------------------------------- /ttps/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Risk-taker0501/Django_ML_Project/9111f120f5e7648bc6e23ba60232437ad29bd62c/ttps/__init__.py -------------------------------------------------------------------------------- /ttps/__pycache__/__init__.cpython-37.pyc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Risk-taker0501/Django_ML_Project/9111f120f5e7648bc6e23ba60232437ad29bd62c/ttps/__pycache__/__init__.cpython-37.pyc -------------------------------------------------------------------------------- /ttps/__pycache__/settings.cpython-37.pyc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Risk-taker0501/Django_ML_Project/9111f120f5e7648bc6e23ba60232437ad29bd62c/ttps/__pycache__/settings.cpython-37.pyc -------------------------------------------------------------------------------- /ttps/__pycache__/urls.cpython-37.pyc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Risk-taker0501/Django_ML_Project/9111f120f5e7648bc6e23ba60232437ad29bd62c/ttps/__pycache__/urls.cpython-37.pyc -------------------------------------------------------------------------------- /ttps/__pycache__/wsgi.cpython-37.pyc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Risk-taker0501/Django_ML_Project/9111f120f5e7648bc6e23ba60232437ad29bd62c/ttps/__pycache__/wsgi.cpython-37.pyc -------------------------------------------------------------------------------- /ttps/settings.py: -------------------------------------------------------------------------------- 1 | """ 2 | Django settings for ttps project. 3 | 4 | Generated by 'django-admin startproject' using Django 2.2.1. 5 | 6 | For more information on this file, see 7 | https://docs.djangoproject.com/en/2.2/topics/settings/ 8 | 9 | For the full list of settings and their values, see 10 | https://docs.djangoproject.com/en/2.2/ref/settings/ 11 | """ 12 | 13 | import os 14 | 15 | # Build paths inside the project like this: os.path.join(BASE_DIR, ...) 16 | BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) 17 | 18 | 19 | # Quick-start development settings - unsuitable for production 20 | # See https://docs.djangoproject.com/en/2.2/howto/deployment/checklist/ 21 | 22 | # SECURITY WARNING: keep the secret key used in production secret! 23 | SECRET_KEY = '(u!04(j4tr$*xgt5gx@)4royb_dr=b)*(%uuov*jz8zoi3-h3o' 24 | 25 | # SECURITY WARNING: don't run with debug turned on in production! 26 | DEBUG = True 27 | 28 | ALLOWED_HOSTS = [] 29 | 30 | 31 | # Application definition 32 | 33 | INSTALLED_APPS = [ 34 | 'django.contrib.admin', 35 | 'django.contrib.auth', 36 | 'django.contrib.contenttypes', 37 | 'django.contrib.sessions', 38 | 'django.contrib.messages', 39 | 'django.contrib.staticfiles', 40 | 'main.apps.MainConfig', 41 | ] 42 | 43 | MIDDLEWARE = [ 44 | 'django.middleware.security.SecurityMiddleware', 45 | 'django.contrib.sessions.middleware.SessionMiddleware', 46 | 'django.middleware.common.CommonMiddleware', 47 | 'django.middleware.csrf.CsrfViewMiddleware', 48 | 'django.contrib.auth.middleware.AuthenticationMiddleware', 49 | 'django.contrib.messages.middleware.MessageMiddleware', 50 | 'django.middleware.clickjacking.XFrameOptionsMiddleware', 51 | ] 52 | 53 | ROOT_URLCONF = 'ttps.urls' 54 | 55 | TEMPLATES = [ 56 | { 57 | 'BACKEND': 'django.template.backends.django.DjangoTemplates', 58 | 'DIRS': [], 59 | 'APP_DIRS': True, 60 | 'OPTIONS': { 61 | 'context_processors': [ 62 | 'django.template.context_processors.debug', 63 | 'django.template.context_processors.request', 64 | 'django.contrib.auth.context_processors.auth', 65 | 'django.contrib.messages.context_processors.messages', 66 | ], 67 | }, 68 | }, 69 | ] 70 | 71 | WSGI_APPLICATION = 'ttps.wsgi.application' 72 | 73 | 74 | # Database 75 | # https://docs.djangoproject.com/en/2.2/ref/settings/#databases 76 | 77 | DATABASES = { 78 | 'default': { 79 | 'ENGINE': 'django.db.backends.sqlite3', 80 | 'NAME': os.path.join(BASE_DIR, 'db.sqlite3'), 81 | } 82 | } 83 | 84 | 85 | # Password validation 86 | # https://docs.djangoproject.com/en/2.2/ref/settings/#auth-password-validators 87 | 88 | AUTH_PASSWORD_VALIDATORS = [ 89 | { 90 | 'NAME': 'django.contrib.auth.password_validation.UserAttributeSimilarityValidator', 91 | }, 92 | { 93 | 'NAME': 'django.contrib.auth.password_validation.MinimumLengthValidator', 94 | }, 95 | { 96 | 'NAME': 'django.contrib.auth.password_validation.CommonPasswordValidator', 97 | }, 98 | { 99 | 'NAME': 'django.contrib.auth.password_validation.NumericPasswordValidator', 100 | }, 101 | ] 102 | 103 | 104 | # Internationalization 105 | # https://docs.djangoproject.com/en/2.2/topics/i18n/ 106 | 107 | LANGUAGE_CODE = 'en-us' 108 | 109 | TIME_ZONE = 'Asia/Kolkata' 110 | 111 | USE_I18N = True 112 | 113 | USE_L10N = True 114 | 115 | USE_TZ = True 116 | 117 | 118 | # Static files (CSS, JavaScript, Images) 119 | # https://docs.djangoproject.com/en/2.2/howto/static-files/ 120 | 121 | STATIC_URL = '/static/' 122 | -------------------------------------------------------------------------------- /ttps/urls.py: -------------------------------------------------------------------------------- 1 | """ttps URL Configuration 2 | 3 | The `urlpatterns` list routes URLs to views. For more information please see: 4 | https://docs.djangoproject.com/en/2.2/topics/http/urls/ 5 | Examples: 6 | Function views 7 | 1. Add an import: from my_app import views 8 | 2. Add a URL to urlpatterns: path('', views.home, name='home') 9 | Class-based views 10 | 1. Add an import: from other_app.views import Home 11 | 2. Add a URL to urlpatterns: path('', Home.as_view(), name='home') 12 | Including another URLconf 13 | 1. Import the include() function: from django.urls import include, path 14 | 2. Add a URL to urlpatterns: path('blog/', include('blog.urls')) 15 | """ 16 | from django.contrib import admin 17 | from django.urls import path, include 18 | 19 | urlpatterns = [ 20 | path('admin/', admin.site.urls), 21 | path('', include('main.urls')), 22 | ] 23 | -------------------------------------------------------------------------------- /ttps/wsgi.py: -------------------------------------------------------------------------------- 1 | """ 2 | WSGI config for ttps project. 3 | 4 | It exposes the WSGI callable as a module-level variable named ``application``. 5 | 6 | For more information on this file, see 7 | https://docs.djangoproject.com/en/2.2/howto/deployment/wsgi/ 8 | """ 9 | 10 | import os 11 | 12 | from django.core.wsgi import get_wsgi_application 13 | 14 | os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'ttps.settings') 15 | 16 | application = get_wsgi_application() 17 | --------------------------------------------------------------------------------