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检索条件"机构=Artificial Intelligence and Data Science Vishwakarma Institute of Technology"

共 3933 条记录，以下是1-10 订阅

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Enhanced deepfake detection through CNN and Deepfake Architecture 4

Enhanced deepfake detection through CNN and Deepfake Archite...

引用

4th International Conference on Advancement in Electronics and Communication Engineering, AECE 2024

作者： Dongre, Shital Jadhav, Nilesh Hanamant Jadhav, Ravindra Konkane, Sumedh Jaiswal, Krishna Nilesh Vishwakarma Institute of Technology Artificial Intelligence and Data Science Pune India

ISBN: (纸本)9798350364729

artificial intelligence has gone crazy in such a way that any ordinary man with technical knowledge could, in a sense, be poised to create an artificial deepfake simply by observing facial movements. The more the videos appear, the more realistic they become with these technologies. This presently presents a significant challenge with the rise of fake news, which, although seemingly bad for social networks, is currently one big technological threat in the spread of deepfakes online. Deepfakes pose allsided danger such as manipulation, misinformation, humiliation, and defamation. In this research paper, an overview of mechanisms that go into this approach would be provided by specializing in its ability to detect subtle inconsistencies within the manipulated videos. This project would be taking up the hybrid approach that includes Hybrid CNN and RNN to nullify the threats of deepfakes. This method, therefore, captures spatial features within video frames by CNN and frame-to-frame inspects for temporal inconsistencies by RNN. Audio-video misalignment is also considered in it. This hybrid approach has yielded good accuracy at any one point in the time of 96% with respect to our model, which thus has the capability to very precisely detect manipulated content. © 2024 IEEE.

关键词： Social networking (online)

来源：评论

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A Comprehensive Study and Implementation of the Mock Interview Simulator with AI and Pose-Based Interaction 1

A Comprehensive Study and Implementation of the Mock Intervi...

引用

1st International Conference on Cognitive, Green and Ubiquitous Computing, IC-CGU 2024

作者： Jadhav, Balasaheb Sawant, Avadhut Shah, Arnav Vemula, Pranamya Waikar, Abhijeet Yadav, Srushti Artificial Intelligence and Data Science Vishwakarma Institute Of Technology Pune India

ISBN: (纸本)9798350361780

The contemporary job market is increasingly competitive, placing a premium on a combination of technical prowess and essential soft skills. The ability to navigate job interviews effectively has emerged as a decisive factor in securing coveted positions. Recognizing this imperative, our contribution to the field is a pioneering solution - the Mock Interview Simulator. This simulator stands as a transformative tool in the landscape of job preparation, offering users an unprecedented advantage. In the current job market milieu, the Mock Interview Simulator redefines conventional preparation methods, providing a revolutionary approach for job seekers. This innovative platform leverages state-of-the-art technologies to empower users to tailor their interview experiences. The simulator introduces AI-driven interviewers, delivering a personalized and dynamic environment. This not only prepares candidates for a diverse range of interview scenarios but also imparts valuable insights into their performance. This paper delves into the intricate design and functionality of our Mock Interview Simulator, elucidating how cutting-edge technologies converge to create a realistic and highly beneficial interview preparation experience. By amalgamating speech recognition, text-to-speech synthesis, and the OpenAI GPT-3.5 Turbo API, the simulator crafts a lifelike interview setting. Additionally, posture detection using the Mediapipe framework adds a physical dimension, ensuring candidates not only articulate their responses effectively but also present themselves professionally. © 2024 IEEE.

关键词： Commerce

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TwitAnalyze: A Deep Dive into Twitter Profile and Comment Sentiment Analysis 7

TwitAnalyze: A Deep Dive into Twitter Profile and Comment Se...

引用

7th IEEE Pune Section International Conference, PuneCon 2024

作者： Thorat, Bhagwan Kshirsagar, Aayusha Kawthekar, Omkar Muley, Kaustubh Kausadikar, Anushka Kawade, Devendra Vishwakarma Institute of Technology Artificial Intelligence and Data Science Pune India

ISBN: (纸本)9798331527822

Twitter is a platform where millions of users voice their opinions and sentiments on various topics on a daily basis. In this digital landscape, businesses recognize the importance of validating their online reputation, using customer opinions to maximize profits. This project specifically focuses on gathering data, evaluating it, and extracting public and private opinions. The key aspect of the analysis is the implementation of vectorization through a pipeline which enables the sentiment classification of new tweets. It explores the significance of opinion mining in shaping online reputation and business strategies. Through rigorous machine learning model evaluation, the study seeks to provide insights into sentiment analysis methodologies and their real-world applications. © 2024 IEEE.

关键词： Tweets

来源：评论

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Multilingual Video Dubbing System 8

Multilingual Video Dubbing System

引用

8th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud), I-SMAC 2024

作者： Savale, Vaishali Gujarathi, Om Gore, Om Gundecha, Sanskar Jadhav, Asawari Vishwakarma Institute of Technology Pune India Vishwakarma Institute of Technology Artificial Intelligence and Data Science Pune India

ISBN: (纸本)9798350376425

This research introduces a web-based video dubbing system for multilingual Indian languages, employing advanced transformer models. The system transcribes, translates, and dubs videos into different languages using a combination of Open AI Whisper for audio transcription, Facebook MBart for text translation, and Silero for text-to-speech conversion with multiple accents. To create a natural viewing experience, the platform integrates a lip sync module for precise alignment of facial movements with dubbed audio. Users can upload videos or provide youtube urls, then choose from various output options, including video-to-audio conversion, original video subtitles, or translated subtitles. Built with React, Python, and Flask, the system offers an efficient and scalable solution for cross-language video communication. Key challenges addressed include multilingual accessibility, speech recognition accuracy, translation quality and lip synchronization aiming to enhance the overall quality and accessibility of video dubbing for Indian languages. © 2024 IEEE.

关键词： Speech recognition

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Evaluating the Performance of Pre-Trained CNNs for Multi-Class Skin Disease Detection 4

Evaluating the Performance of Pre-Trained CNNs for Multi-Cla...

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4th International Conference on Multimedia Processing, Communication and Information technology, MPCIT 2024

作者： Ubale, Ganesh Kashyap, Aryan Kalal, Sahil Kamble, Omkar Pande, Soham Mhamane, Saniya Vishwakarma Institute of Technology Department of Artificial Intelligence and Data Science Pune India

ISBN: (纸本)9798350375466

This study evaluates the performance of pre-trained convolutional neural networks (CNNs) for multi-class skin disease detection. We investigate the efficacy of four models: Xception, InceptionResNetV2, ResNet50, and VGG16. The models are trained and tested on two publicly available datasets: DermNet (6 diseases) and a skin disease classification dataset. We compare the performance of each model based on metrics like accuracy, precision, recall, and F1-score. This research aims to identify the most suitable pre-trained CNN architecture for accurate skin disease classification using readily available datasets. The findings can contribute to the development of automated diagnostic tools to assist dermatologists in early and precise skin disease detection. © 2024 IEEE.

关键词： Convolutional neural networks

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Catalyst: Transition from Web2 to Web3

Catalyst: Transition from Web2 to Web3

引用

2024 International Conference on artificial intelligence and Quantum Computation-Based Sensor Applications, ICAIQSA 2024

作者： Savale, Vaishali Pawar, Dhiraj Shethji, Parth Patil, Mayur Vishwakarma Institute of Technology Department of Artificial Intelligence and Data Science Pune India

ISBN: (纸本)9798331517953

The internet is evolving from Web2's centralized model, dominated by a few tech giants, to Web3's decentralized future. Web3 dismantles walled gardens, distributing data and applications across a peer-to-peer network. Imagine information not on a single server, but replicated across countless computers. This fosters transparency and eliminates censorship. Users, not platforms, own their data. Web3 empowers creators - artists can issue tokens tied to their work, allowing fans to directly support them and even own a piece. Tokens act as the fuel for a new economy, rewarding users for contributing to projects and fostering a more collaborative online experience. This shift towards decentralization has the potential to create a more equitable and user-centric internet, one where power lies not with corporations, but with the users themselves. © 2024 IEEE.

关键词： Blockchain Claude Gemini Hard hat Large Language Model Solidity

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SourcePlag - Source Code Plagiarism Detection Based on Abstract Syntax Trees 3

SourcePlag - Source Code Plagiarism Detection Based on Abstr...

引用

3rd IEEE International Conference on Blockchain and Distributed Systems Security, ICBDS 2024

作者： Sharma, Nakul Shinde, Siddharth Bhosale, Swarup Patil, Suyog Vishwakarma Institute of Information Technology Faculty of Engineering Department of Artificial Intelligence and Data Science Pune India Vishwakarma Institute of Information Technology Department of Artificial Intelligence and Data Science Pune India

ISBN: (纸本)9798350354348

Code plagiarism poses a significant challenge in programming communities, necessitating effective detection mechanisms. This paper introduces a novel system that employs Abstract Syntax Trees (ASTs) for code representation and comparison. The system utilizes ASTs to capture the structural essence of code, facilitating a comprehensive analysis of code similarity, it offers flexibility for application across multiple programming languages. In addition to leveraging the Levenshtein Distance Algorithm for Python code comparison, the system incorporates node counting for other languages such as Java and C/C++. By integrating AST-based representation and a combination of comparison techniques, the system offers a robust solution for identifying plagiarized code instances accurately across various programming environments. Through a detailed exploration of the system's methodology, this paper underscores its potential to address the pervasive issue of code plagiarism in programming communities. © 2024 IEEE.

关键词： C++ (programming language)

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Decentralized Application using Blockchain 5

Decentralized Application using Blockchain

引用

5th International Conference on Image Processing and Capsule Networks, ICIPCN 2024

作者： Kayade, Parth Pardeshi, Aniket Patil, Suyog Raut, Prashant Shetkar, Pranav Barhate, Madhuri Vishwakarma Institute of Technology Department of Artificial Intelligence and Data Science Pune India

ISBN: (纸本)9798350367171

This research work introduces a novel social media platform built on blockchain technology, aiming to address contemporary challenges in privacy, security, and content integrity. Leveraging decentralized ledger technology, the platform ensures transparent and secure data storage, granting users unprecedented control over their personal information. Through cryptographic protocols, identity protection is prioritized, reducing vulnerability to data breaches. The proposed system employs smart contracts for content attribution, guaranteeing immutable and authentic user-generated content. Token-based incentives incentivize community participation and amplify content creators' contributions. By emphasizing decentralization and transparency, the developed platform intends to revolutionize the social media landscape, fostering a more resilient, userdriven digital environment. The fusion of blockchain technology and social media heralds a new era, offering a resilient, transparent, and user-centric digital ecosystem for the future. © 2024 IEEE.

关键词： Dapp NodeJS ReactJS Smart Contract Solidity Web3.0

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Engage Learn: An AI-Based English Proficiency Improviser 4

Engage Learn: An AI-Based English Proficiency Improviser

引用

4th International Conference on Ubiquitous Computing and Intelligent Information Systems, ICUIS 2024

作者： Jadhav, Balasaheb Jain, Manas Jajoo, Adhip Kadam, Devika Kadam, Harshvardhan Kakkad, Toshish Vishwakarma Institute of Technology Department of Artificial Intelligence and Data Science Pune India

ISBN: (纸本)9798331529635

In this research, the new and highly effective Web-based English learning and teaching platform called Engage Learn is introduced with the main purpose of avoiding the mistakes of the traditional models and to help users gain the ability to write and speak English more effectively. Engage Learn employs a marked-defined approach, that involves the application of several advanced technologies. Generative models including ChatGPT 3.5 turbo and Gemini 1.5 flash get enhanced presence when trained using Retrieval-Augmented Generation (RAG) technique. First, the ability for users to speak English makes for an almost informal procedure when learning since the user and the computer are communicating with one another by use of words. In addition to this, targeted feedback modules make an assessment of the user's input and give an immediate-feedback of what is required in terms of improving a user's vocabulary, grammar, and fluency. It offers another learning approach since it presents the content in a manner that is suited more to the current ability level of the user and the usage of preferred learning objectives. Engage Learn also provides flexibility of use based on learning modes as encompassed by general conversation practice, focused grammar correction and vocabulary buildup. This paper reviews the system architecture, explaining features of the different parts of the system, including the speech recognition, LLM with RAG, output analyzing, and the feedback-giving modules on grammar, vocabulary, and reading preferences. Further the paper discusses the tuning of the LLMs in a carefully selected set for language acquisition. This fine-tuning makes sure that the LLMs shall have adequate capability and knowledge required so as to get a feel about how spoken English is and about the particular feedbacks that different user may require out of them. In the last section of the abstract, the planned evaluation methods are presented with the focus on the responsibility of user te

关键词： Contrastive Learning

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Fractal Image Encoding:A Comparative Study of Compression Techniques 10

Fractal Image Encoding:A Comparative Study of Compression Te...

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10th International Conference on Smart Computing and Communication, ICSCC 2024

作者： Kulkarni, Milind Khedkar, Sanskruti Kumbhar, Sanket Mohod, Khushi Mandalpure, Shantanu Meshram, Yashashri Vishwakarma Institute of Technology Intelligence and Data Science Department of Artificial Pune India

ISBN: (纸本)9798350363104

Fractal image compression is a promising technique in the field of image compression. It is based on Affine contractive transforms and utilizes various methods such as fractal DCT, fractal wavelet compression, Huffman encoding, and decoding. This innovative approach involves feature extraction and a unique method of image comparison, making it a block-based image compression technique. The encoding time for fractal image compression is relatively high, while the decoding time is very short. Researchers have also explored the use of artificial intelligence techniques, such as neural networks, to reduce the search spaceand encoding time for fractal image compression, leading to significant advancements in this area. The technique has been lauded for its ability to detect and decode similarities between different regions in an image. Despite its advantages, the intensive computation required for fractal image compression can limit its practical use. Overall, fractal image compression holds great potential for achieving high compression ratios, butits computational demands remain a key consideration in its application. © 2024 IEEE.

关键词： Decoding

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