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$10 USD / hour
Flag of INDIA
indore, india
$10 USD / hour
It's currently 11:47 PM here
Joined February 26, 2021
0 Recommendations

Sulabh S.

@sulabh110887

monthly-level-two.svg 5.0 (3 reviews)
1.2
1.2
100%
100%
$10 USD / hour
Flag of INDIA
indore, india
$10 USD / hour
100%
Jobs Completed
100%
On Budget
100%
On Time
33%
Repeat Hire Rate

Project Manager and Senior Dot Net Developer

I am a full-stack dot net developer. I am working in Dot net technologies for the last 12 years. I have worked in many Domains Like Billing Applications, Web Applications, API, etc. I am an experienced software developer with expert professionals in website design and development, mobile applications, etc in different technologies. Responsibilities 1. Design, Implement and maintain Dot net application phases. [login to view URL] best practice, consistency, and Quality within the design and development phases. 3. Provide Technical Support and consultation for Dot net Application. 4. Establish, refine and integrate development and test environment tools and software as needed. 5. Develop technical design for application development. 6. Having good experience in NET/Visual Studio (ASP, ASP. Net, MVC, ASPNET CORE, Dot Net Core, and C#, Unity, Machine Learning, etc. ). 7. Niche Expertise in Microsoft web development stack. 8. Hands-on experience in SQL Server, Web Services, WCF, Entity Framework, Web API. 9. Having good Exposure to Complex Stored Procedures, Triggers, Functions. 10. Having good knowledge of Digital Marketing. Services we offer Web Application Design & Development Flutter Development Python Development Word Press Amazon AWS integration and development Azure Platform Startup Consulting Desktop Applications E-Commerce Solution Android Development iOS Development Windows Development Machine learning libraries Data science structure SEO, SMO, SMM, etc
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Portfolio

10194813
Custom Object detection is the project of detecting where in an image an object is located and classifying every object of interest in a given image. In computer vision, this is used in applications such as picture retrieval, security cameras, and autonomous vehicles ,wild life detection. In this project Object Detection is done using TensorFlow for Custom Dataset. TensorFlow object detection models like SSD, R-CNN, Faster R-CNN and YOLOv3.
Custom Object Detection
Custom Object detection is the project of detecting where in an image an object is located and classifying every object of interest in a given image. In computer vision, this is used in applications such as picture retrieval, security cameras, and autonomous vehicles ,wild life detection. In this project Object Detection is done using TensorFlow for Custom Dataset. TensorFlow object detection models like SSD, R-CNN, Faster R-CNN and YOLOv3.
Custom Object Detection
Custom Object detection is the project of detecting where in an image an object is located and classifying every object of interest in a given image. In computer vision, this is used in applications such as picture retrieval, security cameras, and autonomous vehicles ,wild life detection. In this project Object Detection is done using TensorFlow for Custom Dataset. TensorFlow object detection models like SSD, R-CNN, Faster R-CNN and YOLOv3.
Custom Object Detection
10194867
Sentiment analysis analyze sentiments, evaluations, attitudes, and emotions, opinion polarity (positive, negative, neutral, and beyond) of users which they express on YouTube and other online resources. YouTube Comment Sentiment Analysis Uses the Natural Language Processing techniques, which can be used to determine the sensibility behind the texts. This Model is build using TextBlob sentiment analysis .It provides a simple API for diving into common natural language processing (NLP) tasks such as part-of-speech tagging, noun phrase extraction, sentiment analysis, classification, translation, and more.
YouTube Comment Sentiment Analysis
Sentiment analysis analyze sentiments, evaluations, attitudes, and emotions, opinion polarity (positive, negative, neutral, and beyond) of users which they express on YouTube and other online resources. YouTube Comment Sentiment Analysis Uses the Natural Language Processing techniques, which can be used to determine the sensibility behind the texts. This Model is build using TextBlob sentiment analysis .It provides a simple API for diving into common natural language processing (NLP) tasks such as part-of-speech tagging, noun phrase extraction, sentiment analysis, classification, translation, and more.
YouTube Comment Sentiment Analysis
10194854
A Real Time Spam Detection model is used to detect unsolicited, unwanted and virus-infected emails and prevent those messages from getting to a user's inbox. Like other types of filtering programs, a spam filter looks for specific criteria on which to base its judgments. Naive Bayes is used to train this model. It is an efficient classifier that is used to classify the text message based on posterior probability of the Mail/Message belonging to different classes as spam message or not spam message.
Real Time Spam Detection
10194839
Taxi Fare Prediction helps you to know everything for which you are being charged, you can calculate a cab fare estimate when the cab pulls up to you by Knowing the unit fee for the particular cab company. The unit fee is how much money your rate will increase. Most taxi fares include two unit fees: one for distance and one for time spent in the taxi. In this project I chose RandomForestRegressor to build model and further BOOSTING USING LGBM ,XGBM to predict taxi fare.
Taxi Fare Prediction
10194822
Recommender System is a system that seeks to predict or filter preferences according to the user’s choices. Recommender systems are utilized in a variety of areas including movies, music, news, books, research articles, search queries, social tags, and products in general. In this project we recommend 30 movies according to the user’s choices. In this project TFIDFVectorizer and CosineSimilarity used for Recommendation
Recommender System
Recommender System is a system that seeks to predict or filter preferences according to the user’s choices. Recommender systems are utilized in a variety of areas including movies, music, news, books, research articles, search queries, social tags, and products in general. In this project we recommend 30 movies according to the user’s choices. In this project TFIDFVectorizer and CosineSimilarity used for Recommendation
Recommender System
10194756
Our hotel chatbot is a form of digital technology, which can respond intelligently to human interactions, and which can be deployed on behalf of a hotel, or any other business in the hotel industry. This is a kind of digital customer service agent, responding to queries, providing useful information and even answering specific questions The purpose of a chatbot is to mimic the kind of meaningful interactions a customer might have with a real employee, usually through text. In this project Rasa is Opensource Machine Learning framework used for developing AI based chatbot.
Hotel Customer Service Chatbots
Our hotel chatbot is a form of digital technology, which can respond intelligently to human interactions, and which can be deployed on behalf of a hotel, or any other business in the hotel industry. This is a kind of digital customer service agent, responding to queries, providing useful information and even answering specific questions The purpose of a chatbot is to mimic the kind of meaningful interactions a customer might have with a real employee, usually through text. In this project Rasa is Opensource Machine Learning framework used for developing AI based chatbot.
Hotel Customer Service Chatbots
Our hotel chatbot is a form of digital technology, which can respond intelligently to human interactions, and which can be deployed on behalf of a hotel, or any other business in the hotel industry. This is a kind of digital customer service agent, responding to queries, providing useful information and even answering specific questions The purpose of a chatbot is to mimic the kind of meaningful interactions a customer might have with a real employee, usually through text. In this project Rasa is Opensource Machine Learning framework used for developing AI based chatbot.
Hotel Customer Service Chatbots
10194813
Custom Object detection is the project of detecting where in an image an object is located and classifying every object of interest in a given image. In computer vision, this is used in applications such as picture retrieval, security cameras, and autonomous vehicles ,wild life detection. In this project Object Detection is done using TensorFlow for Custom Dataset. TensorFlow object detection models like SSD, R-CNN, Faster R-CNN and YOLOv3.
Custom Object Detection
Custom Object detection is the project of detecting where in an image an object is located and classifying every object of interest in a given image. In computer vision, this is used in applications such as picture retrieval, security cameras, and autonomous vehicles ,wild life detection. In this project Object Detection is done using TensorFlow for Custom Dataset. TensorFlow object detection models like SSD, R-CNN, Faster R-CNN and YOLOv3.
Custom Object Detection
Custom Object detection is the project of detecting where in an image an object is located and classifying every object of interest in a given image. In computer vision, this is used in applications such as picture retrieval, security cameras, and autonomous vehicles ,wild life detection. In this project Object Detection is done using TensorFlow for Custom Dataset. TensorFlow object detection models like SSD, R-CNN, Faster R-CNN and YOLOv3.
Custom Object Detection
10194867
Sentiment analysis analyze sentiments, evaluations, attitudes, and emotions, opinion polarity (positive, negative, neutral, and beyond) of users which they express on YouTube and other online resources. YouTube Comment Sentiment Analysis Uses the Natural Language Processing techniques, which can be used to determine the sensibility behind the texts. This Model is build using TextBlob sentiment analysis .It provides a simple API for diving into common natural language processing (NLP) tasks such as part-of-speech tagging, noun phrase extraction, sentiment analysis, classification, translation, and more.
YouTube Comment Sentiment Analysis
Sentiment analysis analyze sentiments, evaluations, attitudes, and emotions, opinion polarity (positive, negative, neutral, and beyond) of users which they express on YouTube and other online resources. YouTube Comment Sentiment Analysis Uses the Natural Language Processing techniques, which can be used to determine the sensibility behind the texts. This Model is build using TextBlob sentiment analysis .It provides a simple API for diving into common natural language processing (NLP) tasks such as part-of-speech tagging, noun phrase extraction, sentiment analysis, classification, translation, and more.
YouTube Comment Sentiment Analysis
10194854
A Real Time Spam Detection model is used to detect unsolicited, unwanted and virus-infected emails and prevent those messages from getting to a user's inbox. Like other types of filtering programs, a spam filter looks for specific criteria on which to base its judgments. Naive Bayes is used to train this model. It is an efficient classifier that is used to classify the text message based on posterior probability of the Mail/Message belonging to different classes as spam message or not spam message.
Real Time Spam Detection
10194839
Taxi Fare Prediction helps you to know everything for which you are being charged, you can calculate a cab fare estimate when the cab pulls up to you by Knowing the unit fee for the particular cab company. The unit fee is how much money your rate will increase. Most taxi fares include two unit fees: one for distance and one for time spent in the taxi. In this project I chose RandomForestRegressor to build model and further BOOSTING USING LGBM ,XGBM to predict taxi fare.
Taxi Fare Prediction
10194822
Recommender System is a system that seeks to predict or filter preferences according to the user’s choices. Recommender systems are utilized in a variety of areas including movies, music, news, books, research articles, search queries, social tags, and products in general. In this project we recommend 30 movies according to the user’s choices. In this project TFIDFVectorizer and CosineSimilarity used for Recommendation
Recommender System
Recommender System is a system that seeks to predict or filter preferences according to the user’s choices. Recommender systems are utilized in a variety of areas including movies, music, news, books, research articles, search queries, social tags, and products in general. In this project we recommend 30 movies according to the user’s choices. In this project TFIDFVectorizer and CosineSimilarity used for Recommendation
Recommender System
10194756
Our hotel chatbot is a form of digital technology, which can respond intelligently to human interactions, and which can be deployed on behalf of a hotel, or any other business in the hotel industry. This is a kind of digital customer service agent, responding to queries, providing useful information and even answering specific questions The purpose of a chatbot is to mimic the kind of meaningful interactions a customer might have with a real employee, usually through text. In this project Rasa is Opensource Machine Learning framework used for developing AI based chatbot.
Hotel Customer Service Chatbots
Our hotel chatbot is a form of digital technology, which can respond intelligently to human interactions, and which can be deployed on behalf of a hotel, or any other business in the hotel industry. This is a kind of digital customer service agent, responding to queries, providing useful information and even answering specific questions The purpose of a chatbot is to mimic the kind of meaningful interactions a customer might have with a real employee, usually through text. In this project Rasa is Opensource Machine Learning framework used for developing AI based chatbot.
Hotel Customer Service Chatbots
Our hotel chatbot is a form of digital technology, which can respond intelligently to human interactions, and which can be deployed on behalf of a hotel, or any other business in the hotel industry. This is a kind of digital customer service agent, responding to queries, providing useful information and even answering specific questions The purpose of a chatbot is to mimic the kind of meaningful interactions a customer might have with a real employee, usually through text. In this project Rasa is Opensource Machine Learning framework used for developing AI based chatbot.
Hotel Customer Service Chatbots

Reviews

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5.0
£10.00 GBP
Project for Sulabh S. -- 2
Good work and satisfied
.NET
Mobile App Development
Android
C# Programming
+1 more
H
Flag of Heidar H.
@heidarhosseini80
•
2 years ago
5.0
£10.00 GBP
Project for Sulabh S.
Committed and hard working I recommend him highly
.NET
Mobile App Development
Android
C# Programming
+1 more
H
Flag of Heidar H.
@heidarhosseini80
•
2 years ago
5.0
£10.00 GBP
.Net Mobile Development Teaching
Very friendly and organized I recommend highly to be hired
Mobile App Development
C# Programming
Xamarin
H
Flag of Heidar H.
@heidarhosseini80
•
2 years ago

Education

MCA

Sikkim Manipal University of Health, Medical and Technological Sciences, India 2009 - 2011
(2 years)

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Top Skills

Mobile App Development 3
C# Programming 3
.NET 2
Android 2
.NET Core 2

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