Relevant bibliographies by topics / Streamlit Interface

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Streamlit Interface'

Author: Grafiati
Published: 2 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Streamlit Interface"

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Keerthi, MS P., G. Srikar Reddy, V. Sai Raghava, and K. Buchi Reddy. "Streamlit Interface for Multiple Disease Diagnosis." International Journal for Research in Applied Science and Engineering Technology 11, no. 2 (2023): 1159–64. http://dx.doi.org/10.22214/ijraset.2023.49166.

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Abstract: Nowadays most people are suffering with the many chronic diseases and getting effected by those without having the knowledge. In this paper we are trying to establish a single streamlet interface for three different machine learning disease prediction models. Our interface includes three diseases which are heart disease, diabetes, and pneumonia. Our heart disease model is developed using the logistic regression which explores whether the person have healthy heart or not by taking the needed inputs which are explored in further sections. Our diabetes model predicts whether the person
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Deeksha, Patel, Parasabaktula Jyostna, Mangal Yadav Shiv, Bhattacharyya Ritendu, and Kumar Depuru Bharani. "Facial Authentication using Deep-Learning: An Advanced Biosecure Login Model Employing an Integrated Deep-Learning Approach to Enhance the Robustness and Security of the Login Authentication Process." Facial Authentication using Deep-Learning: An Advanced Biosecure Login Model Employing an Integrated Deep-Learning Approach to Enhance the Robustness and Security of the Login Authentication Process 8, no. 12 (2024): 7. https://doi.org/10.5281/zenodo.10453298.

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Face recognition is a concept of the safest way of logging on; it entails that our facial images are acquired, detected, and subsequently authenticated by the particular interface. In this present digital generation, safe authentication of the interfaces is the primary cautionary aspect that should be maintained, and this model suggests a secure and strong authentication system. This paper recommends a face recognition login interface that involves deep learning models to provide a strong and secure authentication mechanism. It involves the extraction of facial images, proposes a solution to e
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Sujit Das, Dr, Ananya S Nair, and Pattela Aneesh. "AI Resume Analyzer: Smart Resume Evaluation and Enhancement." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem44548.

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This paper presents an AI-driven resume analyzer designed to streamline and enhance the job candidate assessment process. The system utilizes Natural Language Processing (NLP) techniques and machine learning algorithms to process and evaluate resumes efficiently. By extracting key information, calculating an ATS compatibility score, identifying grammar errors, and providing improvement suggestions, the analyzer aims to assist both job seekers and recruiters optimize the resume screening process. The platform also evaluates resumes against job-specific requirements and offers curated resources,
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.Anusha M, Mrs. "Development of a Conversational AI Assistant for Real-Time Task Organization." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem47247.

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Abstract This project unveils a smart assistant that transforms task management by weaving together speech-to-text, Retrieval-Augmented Generation (RAG), and OpenAI’s language models. Built with Streamlit and FastAPI, it offers an interactive platform that interprets voice commands, retrieves context, and crafts intelligent responses. The system tackles modern productivity hurdles by enabling seamless task creation, calendar syncing, and document querying, all through a natural, user- friendly interface. Testing reveals robust performance, setting the stage for scalable, innovative conversatio
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Sreelatha Bijili, Nandana Ande, Vinesh Doddi, Sai Aryan Meesala, Thilak Chinta, and Nithin Soma. "AI powered automatic test case creation using Chat GPT and Streamlit interface." World Journal of Advanced Engineering Technology and Sciences 15, no. 2 (2025): 470–79. https://doi.org/10.30574/wjaets.2025.15.2.0585.

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In today’s rapid software development landscape, ensuring software quality through comprehensive testing is both crucial and increasingly challenging. Traditional test case generation methods are time-consuming, error-prone, and often fail to adapt to evolving application requirements. This project introduces an AI-powered automated test case generation system that leverages OpenAI’s GPT language model integrated into a Streamlit-based interface to revolutionize the way test cases are created. By accepting inputs such as functional requirements, code snippets, or user stories, the system dynam
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Chavan, Dr Amrapali, and Soham Sakunde. "Home Safe: AI-Powered Anomaly Detection for Housing Inspection." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem44600.

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This paper presents HomeSafe, an AI-driven system for automated housing inspection using Machine Learning-based anomaly detection. The system detects structural cracks from images and estimates their severity, providing detailed reports for decision-making. A MobileNetV2-based CNN model is fine-tuned for crack detection, achieving high accuracy on a benchmark dataset. The system further estimates crack width and dimen sions using image processing techniques. A web-based interface (Streamlit) is developed for easy image uploads and report generation. The project aims to assist engineers, homeow
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Harshavardhan1, Polamarasetty. "Design and Implementation of a Fine-Tuned Llama-Based AI Chatbot with Voice and Text Interaction Using Streamlit and Ollama." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 03 (2025): 1–9. https://doi.org/10.55041/ijsrem42961.

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Natural language processing (NLP) drives artificial intelligence (AI)driven chatbots that have gained great popularity in many industries in recent years [15], therefore improving humancomputer interactions. Optimized for quick conversational reactions, this paper describes an AIdriven chatbot driven by a finely tuned Llama 3.2 model. Using Streamlit for an interactive user interface, Ollama for model deployment, and SpeechRecognition and pyttsx3 for smooth voice input and texttospeech (TTS) output [5][10[11]], the chatbot combines voice and textbased communication [2][4]. Using Sloth, a dedic
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Akhil, Buddhi. "Multi Disease Prediction Using Machine Learning." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 06 (2025): 1–9. https://doi.org/10.55041/ijsrem49614.

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Abstract: Multiple Disease Prediction using Machine Learning, Deep Learning, and Streamlit is a comprehensive project aimed at predicting diseases such as diabetes, heart disease, and Parkinson’s disease. The system leverages a combination of machine learning and deep learning algorithms, including TensorFlow with Keras, Support Vector Machine (SVM), and Logistic Regression, to build accurate and reliable prediction models. These models are trained on publicly available datasets and are deployed using Streamlit Cloud, utilizing the Streamlit library to provide an intuitive and user-friendly in
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B, Sushma, and Benaka Raj. "Deep Learning-Based Web Application for Crop Disease Detection Using CNN and Streamlet." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem.spejss004.

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Crop diseases can cause significant yield losses and threaten food security if not diagnosed and treated in time. In this paper, we present a real-time web application for crop disease detection using deep learning techniques, primarily Convolutional Neural Networks (CNNs). The application allows farmers to upload leaf images through a Streamlet interface, which are then analyzed by a trained CNN model to detect diseases. The system provides fast, accurate predictions along with suggestions for treatments, promoting smart and sustainable farming. For scalability and maintainability, it makes u
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Wadhwani, Lakshay, Kushal Gupta, Akshat Kumar, Biraag S. Prabhakar, and Dr Archana Kumar. "Cognitive Query System Using Generative AI." International Journal for Research in Applied Science and Engineering Technology 12, no. 11 (2024): 963–67. http://dx.doi.org/10.22214/ijraset.2024.65247.

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Abstract: The Cognitive Query System using Generative AI is a cutting-edge tool designed to transform the way we retrieve and analyse data from a wide range of sources, including text, images, and documents. Powered by the Google Gemini API and deployed through Streamlit, this system allows users to easily ask questions, process images, and explore document contents via an intuitive, interactive interface. The system comprises three core modules: the Question-Answering Module, which uses advanced natural language processing (NLP) techniques to provide contextually accurate, conversational resp
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Dissertations / Theses on the topic "Streamlit Interface"

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Hoffman, Richard W. III. "High-Level Graphical User Interface to Streamline Mission Management of Dynamically Growing Data Transport Systems." International Foundation for Telemetering, 2012. http://hdl.handle.net/10150/581629.

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ITC/USA 2012 Conference Proceedings / The Forty-Eighth Annual International Telemetering Conference and Technical Exhibition / October 22-25, 2012 / Town and Country Resort & Convention Center, San Diego, California<br>As data transport systems become exponentially larger and more complex, the need to simplify the level of user involvement in establishing the intercommunication pathways becomes increasingly vital to streamlined, effective mission management. The proliferation of open-architecture, modular approaches to data transport and multiplexing systems shows the need for a unified, high-
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Wang, Xiujun. "Melt transformation coextrusion of polyethylene and polybutylene measurements of streamline flow and pressure effect on birefringence and interface visualization in the MTCE process." Ohio : Ohio University, 1989. http://www.ohiolink.edu/etd/view.cgi?ohiou1182182580.

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Maurer, Simon. "Analysis and coordination of mixed-criticality cyber-physical systems." Thesis, University of Hertfordshire, 2018. http://hdl.handle.net/2299/21094.

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A Cyber-physical System (CPS) can be described as a network of interlinked, concurrent computational components that interact with the physical world. Such a system is usually of reactive nature and must satisfy strict timing requirements to guarantee a correct behaviour. The components can be of mixed-criticality which implies different progress models and communication models, depending whether the focus of a component lies on predictability or resource efficiency. In this dissertation I present a novel approach that bridges the gap between stream processing models and Labelled Transition Sy
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Books on the topic "Streamlit Interface"

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Shaw, Brandon. Powershell Step-By-Step: Scripts to Automate Windows Processes, Streamline Production, Overhaul Interface with Azure and Office 365. Lulu Press, Inc., 2021.

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Shaw, Brandon. Powershell Step-By-Step: Scripts to Automate Windows Processes, Streamline Production, Overhaul Interface with Azure and Office 365. Independently Published, 2019.

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Müßig, Ulrike. Jurisdiction, Political Authority, and Territory. Edited by Heikki Pihlajamäki, Markus D. Dubber, and Mark Godfrey. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780198785521.013.29.

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The rise of royal power coincided with the emergence of supreme courts throughout Europe from the thirteenth century onwards. The differentiation of legal business and the institutionalization of a judicial section concerned the interface of jurisdiction, political authority, and territory. The commitment to streamline the administration of justice and to provide access to courts was the major catalyst for pre-state unification, and legal theorists advocated limits on the extent of a legal purview. These limits resolved themselves into ordinary competences and jurisdictions or, in other words,
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Brown, Christopher C. Harnessing the Power of Google. ABC-CLIO, LLC, 2017. http://dx.doi.org/10.5040/9798400661877.

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This informative and practical book teaches how to get better and faster results from Internet searches and methods for maximizing the potential of the world’s most popular search engine. Mastering Internet research skills is a must for today’s information professionals and LIS students, as well as for educators and all high school and college students. But without specific instruction in how to conduct online research, people are destined to waste time in their Internet queries or to come up emptyhanded when the information they’re seeking is, in fact, available. Harnessing the Power of Googl
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Book chapters on the topic "Streamlit Interface"

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Khorasani, Mohammad, Mohamed Abdou, and Javier Hernández Fernández. "Architecting the User Interface." In Web Application Development with Streamlit. Apress, 2022. http://dx.doi.org/10.1007/978-1-4842-8111-6_3.

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Harsha Vardhan Reddy, B., K. Jithendra, K. Vinod Kumar Reddy, et al. "Enhancing social media integrity: A multi-platform machine learning approach to detecting fake accounts with a user-friendly streamlit interface." In Sustainable Electrical Engineering and Intelligent Systems. CRC Press, 2025. https://doi.org/10.1201/9781003643142-36.

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Muhamad, Gilang Aulia, Bassma Saleh Alsulami, and Khalid Omar Thabit. "Automating NCAAA Accreditation Process with GPT-4 API." In Proceedings in Technology Transfer. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-97-8588-9_23.

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Abstract In the educational world, leveraging advanced technology, particularly for accreditation tasks, presents a promising avenue for enhancing efficiency and user experience. This study implements a web application integrating the GPT-4 model via OpenAI's Application Programming Interface (API) to streamline the National Commission for Academic Accreditation &amp; Assessment (NCAAA) accreditation for Computer Science postgraduate programs at King Abdulaziz University (KAU), Saudi Arabia. Traditionally, fulfilling these requirements entailed a substantial workload, including crafting detail
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Rasheed, Zeeshan, Muhammad Waseem, Malik Abdul Sami, et al. "Autonomous Agents in Software Development: A Vision Paper." In Lecture Notes in Business Information Processing. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-72781-8_2.

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AbstractLarge Language Models (LLM) are reshaping the field of Software Engineering (SE). They enable innovative methods for executing many SE tasks, including automation of entire process of Software Development Life Cycle (SDLC). However, only a limited number of existing works have thoroughly explored the potential of LLM based AI agents to automate the entire lifecycle in SE. In this paper, we demonstrate the success of our initial efforts in automating the entire lifecycle autonomously based on given software specification as input, which has shown remarkable efficiency and significantly
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Viola, Serena, Antonio Novellino, Alberto Zinno, and Marco Di Ludovico. "A Prosumer Approach for Feeding the Digital Twin. Testing the MUST Application in the Old Harbour Waterfront of Genoa." In The Urban Book Series. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-29515-7_18.

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AbstractSupporting the settlement systems’ life cycle management through synchronisation of the real world with a virtual platform constitutes the horizon for the MUST team research (Maintenance Urban Sharing Tools) with the Departments of Architecture (DiARC) and Structures for engineering and architecture (DiSt) of the University of Naples, Stress Scarl and ETT SpA. Living digital simulation models are based on information analysis and constant data supply. The research identifies the involvement of the settlement systems users through creating collaborative information flows, one of the dri
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Gejjala, Lakshmipathi, Muthukumar Arunachalam, Bala Manikanta Eswar Duggisetty, and Jaswanth Kumar Reddy Vardireddy. "Detection of Phishing Websites." In AI Tools for Protecting and Preventing Sophisticated Cyber Attacks. IGI Global, 2023. http://dx.doi.org/10.4018/978-1-6684-7110-4.ch007.

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Phishing attacks are one of the biggest security threats to personal and financial information on the internet. They are a type of cyber-attack where attackers pretend to be a trusted entity in order to trick people into revealing sensitive information, such as passwords and credit card numbers. To address this issue, a web application has been developed for detecting phishing websites. This application utilizes the Beautiful Soup library in Python to extract HTML and XML content and machine learning algorithms for detection. The application was created using the Streamlit software, making it
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Idalisa, Nur, Muhammad Hazwan Mohd Hazhar, Norliana Muslim, and Nur Lyana Shahfiqa Albashah. "Restaurant Recommendation System in Malaysia Using Machine Learning Approach." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2024. https://doi.org/10.3233/faia241357.

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People frequently struggle to make decisions when faced with a wider range of possibilities, especially when selecting a dining restaurant. To address this issue, a recommendation system can assist by analyzing user preferences and previous dining experiences to offer personalized suggestions. This research aims to develop a restaurant recommendation system for Malaysian customers using a machine-learning approach. The study focuses on Non-negative Matrix Factorization (NMF), Probability Matrix Factorization (PMF), Principal Component Analysis (PCA), and Singular Value Decomposition (SVD) appr
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Millet, Barbara. "Design and Development of a Digital Error Reporting System for a Rural Nursing Home." In Cases on Usability Engineering. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-4046-7.ch011.

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Error reporting systems are traditionally facilitated through completion of paper forms. These forms are largely flawed in design and usability. Use of digital reporting forms may be advantageous in reducing data entry errors, minimizing documentation time, and collecting consistent data items. This case study is a site-specific exploration of error reporting systems for a rural nursing home. A comparative evaluation was conducted of the nursing home’s existing narrative, paper form against a newly developed, digital interface. Empirical results showed no overall difference in performance betw
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Zhang, Ting, Si Xie, and Qin Liao. "Smart In-Vehicle System User Interfaces: Designing for Human-Machine Interaction and Cognitive Load Reduction." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2025. https://doi.org/10.3233/faia250286.

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The integration of intelligent technology in vehicles has made in-vehicle interfaces pivotal for driving safety and experience. This paper explores smart interface design focusing on human-machine interaction and cognitive load reduction. By examining user needs and behaviors, we propose design strategies to streamline interaction processes and information display, thereby minimizing driver distraction. A review of human-machine interaction theories and current in-vehicle system practices sets the stage for identifying key design factors. Empirical analysis pinpoints issues such as information
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Mohanty, Rasmita Kumari, Talluri Aruna Sri, V. Manjula, and Gopisetty Rathnamma. "Decentralized Fundraising." In Advances in Hospitality, Tourism, and the Services Industry. IGI Global, 2024. https://doi.org/10.4018/979-8-3693-6562-5.ch014.

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This chapter introduces a Web3 crowdfunding platform with blockchain integration, enabling decentralized fundraising campaigns and offering an intuitive user experience. The platform includes MetaMask for wallet interface, Solidity for creating and deploying smart contracts, and efficient Ethereum transaction network connectivity. The platform uses the transparency, security, and decentralization of blockchain to transform conventional fundraising. With a user-friendly layout and dynamic user interface, users can establish and take part in fundraising campaigns that are driven by smart contrac
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Conference papers on the topic "Streamlit Interface"

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Davey, Vrishab Prasanth, Rohit Kumar, Mandeep Guleria, Yeswanth J. B, and Akilandeswari P. "Streamlined U-Net for MRI Brain Tumor Segmentation with Streamlit Visualization Interface." In 2024 International Conference on Computer, Electronics, Electrical Engineering & their Applications (IC2E3). IEEE, 2024. https://doi.org/10.1109/ic2e362166.2024.10826868.

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Dhanasekaran, S., Rajkumar Pandiarajan, Kondragunta Bindhu, Raavi Hasini, Kodali Rushita, and Kandra Lakshmi Prasanna. "Machine Learning-Based Diabetes Risk Prediction Using Random Forest and Streamlit Interface." In 2025 International Conference on Advances in Modern Age Technologies for Health and Engineering Science (AMATHE). IEEE, 2025. https://doi.org/10.1109/amathe65477.2025.11080746.

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Gm.E, RamShankar, Anunandhana S, and Subhashree M. "Enhancing Social Media Integrity: A Multi-Platform Machine Learning Approach to Detecting Fake Accounts with a User-Friendly Streamlit Interface." In 2024 8th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC). IEEE, 2024. http://dx.doi.org/10.1109/i-smac61858.2024.10714775.

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Boyett, David, Jason York, Anthony Edwards, Scott Dennis, and H. Carter. "Innovative Integration Approaches." In Vertical Flight Society 71st Annual Forum & Technology Display. The Vertical Flight Society, 2015. http://dx.doi.org/10.4050/f-0071-2015-10126.

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The current avionics integration approach is becoming unaffordable partly due to the schedule and cost associated with integrating an avionics system into each configuration of each platform using its native interface. The United States (U.S.) Army's Aviation and Missile Research, Development, and Engineering Center (AMRDEC) Director for Aviation Development tasked the Modular Integrated Survivability (MIS) team to work with the U.S. Army Aviation Engineering Directorate (AED), the Army's airworthiness authority, to explore innovative integration approaches to streamline the integration proces
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Li, Yaojie, and Andrew Hogue. "StudyXR: A Framework to Streamline User Study in Immersive Environments." In 2025 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW). IEEE, 2025. https://doi.org/10.1109/vrw66409.2025.00091.

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Abinay Shri, J., and M. Denisha. "A Novel Framework for Iris Disease Detection Using MobileNetV2 and CNN with Streamlit Interface." In 2024 10th International Conference on Communication and Signal Processing (ICCSP). IEEE, 2024. http://dx.doi.org/10.1109/iccsp60870.2024.10543988.

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Al Kalbani, F. K., S. Al Faraei, and A. Al Mashani. "Developing A ChatGPT for PDO Standard Specification." In SPE Canadian Energy Technology Conference and Exhibition. SPE, 2024. http://dx.doi.org/10.2118/218113-ms.

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Abstract The advancement of digital platforms and natural language processing technologies has led to the development of innovative solutions aimed at enhancing access to information. This abstract introduces PDO ChatGPT, a system designed to facilitate streamlined access to international standards, procedures, guidelines, and specifications through a user-friendly interface. Leveraging Streamlit as the frontend and OpenAI's Language Model (LLM) as the backend, PDO ChatGPT offers users an interactive platform where they can upload PDF specification files. Upon upload, the system extracts text
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Mani, G. Suma, G. Venkata Krishna, M. D. Anto Praveena, P. Asha, and Mercy Paul Selvan. "Real Time Monitoring and Configuration Interface for Smart Home Device Management Using Streamlit and Pygame." In 2024 International Conference on Advances in Data Engineering and Intelligent Computing Systems (ADICS). IEEE, 2024. http://dx.doi.org/10.1109/adics58448.2024.10533557.

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Mensah, A. O. "Real-Time Lithology Prediction While Drilling Using Machine Learning Algorithms: A Web Application Based Solution." In SPE Annual Technical Conference and Exhibition. SPE, 2023. http://dx.doi.org/10.2118/217479-stu.

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Abstract Formation lithology is a vital information source for initial well economic assessment, reservoir lithology description, geological correlation, formation identification, verification of wireline log response, and identification of hydrocarbon deposits. Real-time lithology determination while drilling can greatly optimise the drilling process and enhance geosteering. Using linear, non-linear, and ensemble machine learning algorithms, this study sought to automate the process of lithology classification while drilling. Also, the project sought to create a web application with a graphic
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Mohamed, Anwar Ali, Azharuddin Mohammed, Shah Saud, Anjana Kavassery Veedu, Syed Nizamuddin Zubair, and Amal Salem Al Sayari. "AI-Enabled Annexure Parsing for Oil & Gas Project Exhibits." In ADIPEC. SPE, 2024. http://dx.doi.org/10.2118/222187-ms.

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Abstract In the Oil &amp; Gas industry, the effective management of capital project exhibit documents is essential for ensuring compliance, tracking progress, and making well-informed decisions. This paper presents a comprehensive methodology for developing a Large Language Model – Retrieval Augmented Generation (LLM-RAG) framework leveraging LangChain that enhances the accessibility and usability of these documents using advanced machine learning (ML) techniques. A Llama2-RAG model that incorporates Llama-2-70b large language AI model for advanced language understanding and generation is prop
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