Merge pull request larymak#198 from Das786/main

Added resumer parser  and landmark recognition

Author: larymak

MachineLearning Projects/Landmark Recognition using TensorFlow/landmarks_classifier_asia_V1_label_map.csv

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+
+import PIL
+import tensorflow as tf
+import tensorflow_hub as hub
+import numpy as np
+import pandas as pd
+from geopy.geocoders import Nominatim
+
+model_url = 'https://tfhub.dev/google/on_device_vision/classifier/landmarks_classifier_asia_V1/1'
+labels = 'landmarks_classifier_asia_V1_label_map.csv'
+df = pd.read_csv(labels)
+labels = dict(zip(df.id, df.name))
+
+def image_processing(image):
+    image = "taj_mahal.jpg"
+    img_shape = (321, 321)
+    classifier = tf.keras.Sequential(
+        [hub.KerasLayer(model_url, input_shape=img_shape + (3,), output_key="predictions:logits")])
+    img = PIL.Image.open(image)
+    img = img.resize(img_shape)
+    img1 = img
+    img = np.array(img) / 255.0
+    img = img[np.newaxis]
+    result = classifier.predict(img)
+    fresult = labels[np.argmax(result)],img1
+    print("Prediction Location is ",fresult[0])
+    geolocator = Nominatim(user_agent="Your_Name")
+    location = geolocator.geocode(fresult[0])
+    floc = location.address,location.latitude, location.longitude
+    print(location.address,location.latitude, location.longitude) 
+
+
+def run():
+
+    img_file = 'taj.jpg'
+    image_processing(img_file)
+   

MachineLearning Projects/Landmark Recognition using TensorFlow/recognition.py

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+Alice Clark 
+AI / Machine Learning 
+ 
+Delhi, India Email me on Indeed 
+• 
+20+ years of experience in data handling, design, and development 
+• 
+Data Warehouse: Data analysis, star/snow flake scema data modelling and design specific to 
+data warehousing and business intelligence 
+• 
+Database: Experience in database designing, scalability, back-up and recovery, writing and 
+optimizing SQL code and Stored Procedures, creating functions, views, triggers and indexes. 
+Cloud platform: Worked on Microsoft Azure cloud services like Document DB, SQL Azure, 
+Stream Analytics, Event hub, Power BI, Web Job, Web App, Power BI, Azure data lake 
+analytics(U-SQL) 
+Willing to relocate anywhere 
+ 
+WORK EXPERIENCE 
+Software Engineer 
+Microsoft – Bangalore, Karnataka 
+January 2000 to Present 
+1. Microsoft Rewards Live dashboards: 
+Description: - Microsoft rewards is loyalty program that rewards Users for browsing and shopping 
+online. Microsoft Rewards members can earn points when searching with Bing, browsing with 
+Microsoft Edge and making purchases at the Xbox Store, the Windows Store and the Microsoft 
+Store. Plus, user can pick up bonus points for taking daily quizzes and tours on the Microsoft 
+rewards website. Rewards live dashboards gives a live picture of usage world-wide and by 
+markets like US, Canada, Australia, new user registration count, top/bottom performing rewards 
+offers, orders stats and weekly trends of user activities, orders and new user registrations. the 
+PBI tiles gets refreshed in different frequencies starting from 5 seconds to 30 minutes. 
+Technology/Tools used 
+ 
+EDUCATION 
+Indian Institute of Technology – Mumbai 
+2001 
+ 
+SKILLS 
+Machine Learning, Natural Language Processing, and Big Data Handling 
+ 
+ADDITIONAL INFORMATION 
+Professional Skills 
+• Excellent analytical, problem solving, communication, knowledge transfer and interpersonal 
+skills with ability to interact with individuals at all the levels 
+• Quick learner and maintains cordial relationship with project manager and team members and 
+good performer both in team and independent job environments 
+• Positive attitude towards superiors & peers 
+• Supervised junior developers throughout project lifecycle and provided technical assistance 
+

MachineLearning Projects/Landmark Recognition using TensorFlow/taj_mahal.jpg

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+{"lang":"en","name":"model","version":"0.0.0","spacy_version":">=2.2.3","description":"","author":"","email":"","url":"","license":"","vectors":{"width":0,"vectors":0,"keys":0,"name":"spacy_pretrained_vectors"},"pipeline":["ner"],"factories":{"ner":"ner"},"labels":{"ner":["College Name","Companies worked at","Degree","Designation","Email Address","Graduation Year","Location","Name","Skills","UNKNOWN","Years of Experience"]}}

MachineLearning Projects/Resume Parser using NLP/Alice Clark CV.docx

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+{
+  "beam_width":1,
+  "beam_density":0.0,
+  "beam_update_prob":1.0,
+  "cnn_maxout_pieces":3,
+  "nr_feature_tokens":6,
+  "nr_class":46,
+  "hidden_depth":1,
+  "token_vector_width":96,
+  "hidden_width":64,
+  "maxout_pieces":2,
+  "pretrained_vectors":null,
+  "bilstm_depth":0,
+  "self_attn_depth":0,
+  "conv_depth":4,
+  "conv_window":1,
+  "embed_size":2000
+}

MachineLearning Projects/Resume Parser using NLP/Alice Clark CV.pdf

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+��moves� {"0":{},"1":{"Companies worked at":-1,"Skills":-2,"Graduation Year":-3,"College Name":-4,"Degree":-5,"Designation":-6,"Email Address":-7,"Location":-8,"Name":-9,"Years of Experience":-10,"UNKNOWN":-11},"2":{"Companies worked at":-1,"Skills":-2,"Graduation Year":-3,"College Name":-4,"Degree":-5,"Designation":-6,"Email Address":-7,"Location":-8,"Name":-9,"Years of Experience":-10,"UNKNOWN":-11},"3":{"Companies worked at":-1,"Skills":-2,"Graduation Year":-3,"College Name":-4,"Degree":-5,"Designation":-6,"Email Address":-7,"Location":-8,"Name":-9,"Years of Experience":-10,"UNKNOWN":-11},"4":{"":1,"Companies worked at":-1,"Skills":-2,"Graduation Year":-3,"College Name":-4,"Degree":-5,"Designation":-6,"Email Address":-7,"Location":-8,"Name":-9,"Years of Experience":-10,"UNKNOWN":-11},"5":{"":1}}

MachineLearning Projects/Resume Parser using NLP/Alice Clark CV.txt

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+�