Rahul Kumar

Rahul Kumar

Founder

Author

AI expert

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Case studies
Case studies
Case studies
Books
Books
Books
Research papers
Research
Research papers
Talks
Talks
Talks

Case studies

Enterprise Knowledge Graph
The article provides a comprehensive overview of Knowledge Graph systems, focusing on their structure, application in enterprise data management, and the capabilities of Apres as a Knowledge Graph System. It delves into the basics, features, and use cases, emphasizing its role in fraud detection, recommendation engines, and social media management. Additionally, it highlights the importance of explainable AI and semantic exploration in enhancing decision-making processes.
Enterprise Knowledge Graph
The article provides a comprehensive overview of Knowledge Graph systems, focusing on their structure, application in enterprise data management, and the capabilities of Apres as a Knowledge Graph System. It delves into the basics, features, and use cases, emphasizing its role in fraud detection, recommendation engines, and social media management. Additionally, it highlights the importance of explainable AI and semantic exploration in enhancing decision-making processes.
Enterprise Knowledge Graph
The article provides a comprehensive overview of Knowledge Graph systems, focusing on their structure, application in enterprise data management, and the capabilities of Apres as a Knowledge Graph System. It delves into the basics, features, and use cases, emphasizing its role in fraud detection, recommendation engines, and social media management. Additionally, it highlights the importance of explainable AI and semantic exploration in enhancing decision-making processes.
Introduction to 2D to 3D face Solutions: Transforming Dimensions for Enhanced Realism
This article discusses the transition from 2D to 3D in digital content and presents five solutions for converting 2D images into immersive 3D representations. It outlines various applications across industries like entertainment, fashion, healthcare, education, and more. The solutions include MICA, Photometric FLAME Fitting, Thin-Plate-Spline-Motion, Studio d-id.com, and convert.leiapix.com.
Introduction to 2D to 3D face Solutions: Transforming Dimensions for Enhanced Realism
This article discusses the transition from 2D to 3D in digital content and presents five solutions for converting 2D images into immersive 3D representations. It outlines various applications across industries like entertainment, fashion, healthcare, education, and more. The solutions include MICA, Photometric FLAME Fitting, Thin-Plate-Spline-Motion, Studio d-id.com, and convert.leiapix.com.
Introduction to 2D to 3D face Solutions: Transforming Dimensions for Enhanced Realism
This article discusses the transition from 2D to 3D in digital content and presents five solutions for converting 2D images into immersive 3D representations. It outlines various applications across industries like entertainment, fashion, healthcare, education, and more. The solutions include MICA, Photometric FLAME Fitting, Thin-Plate-Spline-Motion, Studio d-id.com, and convert.leiapix.com.
Pork Manufacturing Optimization Solver
The Pork Order Placement Optimization MVP solver aims to maximize profits by optimizing order processes across five pork facilities. It addresses challenges in order placement and fulfillment by leveraging algorithms and data-driven decision-making. Goals include maximizing profits, efficient resource allocation, and cost reduction. The solver recommends the optimized plant based on lowest cost and available capacity, considering yield variance, labor, and transportation costs. Constraints such as production limits and shipping are considered. Overall, it offers a comprehensive solution to enhance profitability and efficiency in the pork industry.
Pork Manufacturing Optimization Solver
The Pork Order Placement Optimization MVP solver aims to maximize profits by optimizing order processes across five pork facilities. It addresses challenges in order placement and fulfillment by leveraging algorithms and data-driven decision-making. Goals include maximizing profits, efficient resource allocation, and cost reduction. The solver recommends the optimized plant based on lowest cost and available capacity, considering yield variance, labor, and transportation costs. Constraints such as production limits and shipping are considered. Overall, it offers a comprehensive solution to enhance profitability and efficiency in the pork industry.
Pork Manufacturing Optimization Solver
The Pork Order Placement Optimization MVP solver aims to maximize profits by optimizing order processes across five pork facilities. It addresses challenges in order placement and fulfillment by leveraging algorithms and data-driven decision-making. Goals include maximizing profits, efficient resource allocation, and cost reduction. The solver recommends the optimized plant based on lowest cost and available capacity, considering yield variance, labor, and transportation costs. Constraints such as production limits and shipping are considered. Overall, it offers a comprehensive solution to enhance profitability and efficiency in the pork industry.
Meeting Engagement Analytics Tool (LLMs +NLP)
The objective of the Meeting Engagement Analytics Tool is to enhance meeting productivity and effectiveness by capturing emotions from facial expressions and performing speech analytics on meeting transcripts.
Meeting Engagement Analytics Tool (LLMs +NLP)
The objective of the Meeting Engagement Analytics Tool is to enhance meeting productivity and effectiveness by capturing emotions from facial expressions and performing speech analytics on meeting transcripts.
Meeting Engagement Analytics Tool (LLMs +NLP)
The objective of the Meeting Engagement Analytics Tool is to enhance meeting productivity and effectiveness by capturing emotions from facial expressions and performing speech analytics on meeting transcripts.
Enterprise Knowledge Graph (EKG)
The document discusses Enterprise Knowledge Graph (EKG), outlining its basics, components, and significance in data-centric decision-making. It emphasizes the use of graphs to represent relationships between objects and mentions applications like fraud detection, recommendation engines, and social media management. Key features include explainability, semantic exploration, space recommendations, automatic feature engineering, and reporting.
Enterprise Knowledge Graph (EKG)
The document discusses Enterprise Knowledge Graph (EKG), outlining its basics, components, and significance in data-centric decision-making. It emphasizes the use of graphs to represent relationships between objects and mentions applications like fraud detection, recommendation engines, and social media management. Key features include explainability, semantic exploration, space recommendations, automatic feature engineering, and reporting.
Enterprise Knowledge Graph (EKG)
The document discusses Enterprise Knowledge Graph (EKG), outlining its basics, components, and significance in data-centric decision-making. It emphasizes the use of graphs to represent relationships between objects and mentions applications like fraud detection, recommendation engines, and social media management. Key features include explainability, semantic exploration, space recommendations, automatic feature engineering, and reporting.

Book publication

Python Deep Learning Projects
This book is aimed at intermediate machine learning engineers, software engineers, technology architects and programmers who are interested in knowing more about deep learning, especially applied deep learning, TensorFlow, Google Cloud and Keras.
Check on Amazon
Python Deep Learning Projects
This book is aimed at intermediate machine learning engineers, software engineers, technology architects and programmers who are interested in knowing more about deep learning, especially applied deep learning, TensorFlow, Google Cloud and Keras.
Check on Amazon
Python Deep Learning Projects
This book is aimed at intermediate machine learning engineers, software engineers, technology architects and programmers who are interested in knowing more about deep learning, especially applied deep learning, TensorFlow, Google Cloud and Keras.
Check on Amazon
Python: Beginner's Guide to Artificial Intelligence
This Learning Path offers practical knowledge and techniques you need to create and contribute to machine learning, deep learning, and modern data analysis.
Check on Amazon
Python: Beginner's Guide to Artificial Intelligence
This Learning Path offers practical knowledge and techniques you need to create and contribute to machine learning, deep learning, and modern data analysis.
Check on Amazon
Python: Beginner's Guide to Artificial Intelligence
This Learning Path offers practical knowledge and techniques you need to create and contribute to machine learning, deep learning, and modern data analysis.
Check on Amazon

Research papers

Palmprint Recognition Using Geometrical and Texture Properties
Written by: Rohit Khokher, R.C. Singh, Rahul Kumar 2nd International Conference on Research in Science, Engineering and Technology (ICRSET 2014), DUBAI (UAE), pp: 53-57, ISBN: 978-93-82242-81-9
Link to paper
Palmprint Recognition Using Geometrical and Texture Properties
Written by: Rohit Khokher, R.C. Singh, Rahul Kumar 2nd International Conference on Research in Science, Engineering and Technology (ICRSET 2014), DUBAI (UAE), pp: 53-57, ISBN: 978-93-82242-81-9
Link to paper
Palmprint Recognition Using Geometrical and Texture Properties
Written by: Rohit Khokher, R.C. Singh, Rahul Kumar 2nd International Conference on Research in Science, Engineering and Technology (ICRSET 2014), DUBAI (UAE), pp: 53-57, ISBN: 978-93-82242-81-9
Link to paper
Footprint Recognition with Principal Component Analysis and Independent Component Analysis
Written by: Rohit Khokher, R.C. Singh, Rahul Kumar International Conference on Science and Engineering of Materials (ICSEM 2014), DOI: 10.1002/masy.201400045
Link to paper
Footprint Recognition with Principal Component Analysis and Independent Component Analysis
Written by: Rohit Khokher, R.C. Singh, Rahul Kumar International Conference on Science and Engineering of Materials (ICSEM 2014), DOI: 10.1002/masy.201400045
Link to paper
Footprint Recognition with Principal Component Analysis and Independent Component Analysis
Written by: Rohit Khokher, R.C. Singh, Rahul Kumar International Conference on Science and Engineering of Materials (ICSEM 2014), DOI: 10.1002/masy.201400045
Link to paper
Generation of private 512-Bit Security using Human Palm Print,
Written by: Rohit Khokher, R.C. Singh, Saiyam Diwan, Rahul Kumar International Conference on Recent technologies in Advanced Electronics (ICRTAE 2013), pp: 176-193 , ISBN: 978-3-659-27725-2
Link to paper
Generation of private 512-Bit Security using Human Palm Print,
Written by: Rohit Khokher, R.C. Singh, Saiyam Diwan, Rahul Kumar International Conference on Recent technologies in Advanced Electronics (ICRTAE 2013), pp: 176-193 , ISBN: 978-3-659-27725-2
Link to paper
Generation of private 512-Bit Security using Human Palm Print,
Written by: Rohit Khokher, R.C. Singh, Saiyam Diwan, Rahul Kumar International Conference on Recent technologies in Advanced Electronics (ICRTAE 2013), pp: 176-193 , ISBN: 978-3-659-27725-2
Link to paper
Forecasting of COVID-19 Cases Using SARIMA Model in India
Written by: Aashish Jain, Rohit Khokher, Rahul Kumar Solid State Technology Journal, pp: 3516-3528 , 2020
Link to paper
Forecasting of COVID-19 Cases Using SARIMA Model in India
Written by: Aashish Jain, Rohit Khokher, Rahul Kumar Solid State Technology Journal, pp: 3516-3528 , 2020
Link to paper
Forecasting of COVID-19 Cases Using SARIMA Model in India
Written by: Aashish Jain, Rohit Khokher, Rahul Kumar Solid State Technology Journal, pp: 3516-3528 , 2020
Link to paper

Talks & Interviews

Graph-RAG - Empowering LLMs using Knowledge Graphs
In the era of Generative AI, this video introduces knowledge graphs as a powerful way to ground AI systems and improve their accuracy across various use cases. We'll explore the fundamental elements of knowledge graphs and how they work alongside RAG (Retrieval Augmented Generation) systems to reduce hallucinations and create more reliable information retrieval systems.
Graph-RAG - Empowering LLMs using Knowledge Graphs
In the era of Generative AI, this video introduces knowledge graphs as a powerful way to ground AI systems and improve their accuracy across various use cases. We'll explore the fundamental elements of knowledge graphs and how they work alongside RAG (Retrieval Augmented Generation) systems to reduce hallucinations and create more reliable information retrieval systems.
Graph-RAG - Empowering LLMs using Knowledge Graphs
In the era of Generative AI, this video introduces knowledge graphs as a powerful way to ground AI systems and improve their accuracy across various use cases. We'll explore the fundamental elements of knowledge graphs and how they work alongside RAG (Retrieval Augmented Generation) systems to reduce hallucinations and create more reliable information retrieval systems.
Knowledge Graph Embedding in Industries
Invited speaker in 6th International Conference on Management, Engineering, Science, Social Science and Humanities (iCon-MESSSH'21) (Online) • November 2021
Knowledge Graph Embedding in Industries
Invited speaker in 6th International Conference on Management, Engineering, Science, Social Science and Humanities (iCon-MESSSH'21) (Online) • November 2021
Knowledge Graph Embedding in Industries
Invited speaker in 6th International Conference on Management, Engineering, Science, Social Science and Humanities (iCon-MESSSH'21) (Online) • November 2021
Deep Learning for Industries
Invited Keynote speaker in BioSMART 2019 International Conference on BioEngineering for smart technologies at ESME Sudria, Paris • April 2019
Deep Learning for Industries
Invited Keynote speaker in BioSMART 2019 International Conference on BioEngineering for smart technologies at ESME Sudria, Paris • April 2019
Deep Learning for Industries
Invited Keynote speaker in BioSMART 2019 International Conference on BioEngineering for smart technologies at ESME Sudria, Paris • April 2019
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