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Journal articles on the topic 'Gemini API Key'

Author: Grafiati

Published: 7 June 2025

Last updated: 2 August 2025

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1

Gupta, Sanjana, Sweety Pandre, Rishabh Biswal, Saniya Khan, and Gargi Mishra. "ALVoyage – An AI Travel Planner." International Journal for Research in Applied Science and Engineering Technology 12, no. 5 (2024): 834–39. http://dx.doi.org/10.22214/ijraset.2024.61695.

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Abstract: The document discusses the ALVoyage AI travel planner, which integrates with Gemini and Weather APIs and utilizes Firebase authentication. ALVoyage offers personalized travel planning by leveraging AI technology to curate itineraries based on user preferences. It seamlessly integrates with the Gemini API to generate informative content and incorporates real-time weather data from the OpenWeatherMap API. Firebase authentication ensures user security and privacy. The document also highlights the benefits and key features of Gemini and OpenWeatherMap APIs. The methodology section outlin

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S, Siva Sakthii U., Neena Murali, Pradeepa M, Puspha Kumari R, and Janani D. "AI-Powered Resume Analyzer." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 07 (2025): 1–9. https://doi.org/10.55041/ijsrem51340.

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In the competitive job market, aligning resumes with job requirements is critical for job seekers. This project presents an AI-powered Resume Analyzer that automatically parses resumes, evaluates their quality, and compares them with job descriptions to suggest improvements. Key features include skill extraction, job role recommendations, resume scoring, and AI-powered gap analysis using Google Gemini API. The application is built using Flask and deployed locally, offering a user-friendly interface for both candidates and administrators. Keywords— Resume Parsing, Flask, Gemini API, Skill Gap A

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Nazarius, Atong, Ferry Saputra, Nova Noor Kamala sari, and Viktor Handrianus Pranatawijaya. "PENERAPAN GEMINI AI DALAM PEMBUATAN DESKRIPSI PRODUK E-COMMERCE." JATI (Jurnal Mahasiswa Teknik Informatika) 8, no. 3 (2024): 3721–25. http://dx.doi.org/10.36040/jati.v8i3.9670.

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Diera digital saat ini, e-commerce menjadi salah satu industri besar yang berkembang pesat, dengan didorong karna adanya perkembangan teknologi dan Artificial Intelligence (AI). Salah satu pemodelan AI yang inovatif adalah Gemini AI, yang dikembangkan oleh google. Pada penelitian ini penggunaan Gemini AI dalam konteks e-commerce, terkhusus dalam pembuatan deskripsi produk yang dimana Gemini AI mampu mengotomatisasinya, dengan dapat meghasilkan deskripsi yang informatif dan menarik bagi pengguna. Keunggulan dengan adanya Gemini AI pada pembuatan deskripsi produk adalah dapat meminimalisir waktu

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Krishna Nayak, Mr R. "NUTRISCOPE." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 06 (2025): 1–9. https://doi.org/10.55041/ijsrem50034.

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Abstract—NutriScope is designed for food product analysis using image recognition and data analytics. It is built with a MERN stack. Users upload the images of food items, and the system processes through the Gemini API for obtaining nutritional information, which includes certain nutrients, possible health risks, and if it’s appropriate for a given age and gender. This enables appropriate dietary choices to be made. NutriScope feature allows users to compare several food products at a time. The system first groups products into high-protein, high- carb, and balanced, using k-means clustering

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Prakash, ,. M. A. Surya. "Ethical AI-Powered News Summarization with Core Insights." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 03 (2025): 1–9. https://doi.org/10.55041/ijsrem42718.

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The rise of digital news makes staying informed challenging. This paper presents an AI-powered news summarization system using NLP and machine learning to extract, analyze, and generate concise, factual summaries. It integrates keyword extraction, sentiment analysis, and ethical evaluation, ensuring unbiased, multi-perspective insights. Leveraging GPT-based models and multi-stage attention mechanisms, the system enhances responsible journalism and information transparency. Key Words: GPT-3, NLP, Multi-Stage Attention Mechanisms, OLLAMA, LLAMA 3.2, Gemini API

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Jha, Arnav, Alok Raj, Dhroov Gupta, and Vangmayee Sharda. "Tune Music App: A Personalized AI-Driven Music Streaming Platform." International Journal of Microsystems and IoT 3, no. 2 (2025): 1550–58. https://doi.org/10.5281/zenodo.15497327.

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This paper introduces Tune Music App, a cutting-edge music streaming platform that leverages Artificial Intelligence (AI) to deliver personalized music experiences. The app integrates advanced recommendation systems, API-driven music databases, offline streaming capabilities, and collaborative playlist creation to enhance user engagement. Unlike traditional platforms requiring paid subscriptions for premium features, Tune Music App offers free, ad-free experience. The system employs HTML, CSS, and JavaScript for the frontend, Node.js for backend development, and MongoDB for database management

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Ahmed, Hanzala. "Video Summarizer." International Journal for Research in Applied Science and Engineering Technology 13, no. 3 (2025): 224–27. https://doi.org/10.22214/ijraset.2025.67234.

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This project focuses on creating a "Video Summarizer" that leverages advanced technologies to generate concise summaries and visual previews of videos. The process begins by converting the video input into audio using Python libraries such as MoviePy, Speech Recognition. The audio is then transcribed into text, which is summarized using the Google Gemini API to produce clear and succinct summaries. Additionally, the system generates visual previews of the video by extracting text using Pytesseract and applying structural similarity metrics to identify key frames, offering a visual snapshot of

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Carrasco-Aguilar, Álvaro, M. Mercedes Carmona-Martínez, María C. Parra-Meroño, and Mar Souto-Romero. "Integrating Technical Analysis into Sentiment Analysis: An ASTE Framework for Electric Car Purchase Decision Support Based on LLMs and Semantic BNF." Electronics 14, no. 5 (2025): 1020. https://doi.org/10.3390/electronics14051020.

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The increasing complexity of purchasing an electric car, influenced by technical specifications and expert reviews, requires advanced Natural Language Processing techniques to extract meaningful insights. This study enhances Aspect Sentiment Triplet Extraction (ASTE) by integrating Large Language Models (LLMs) to identify key aspects, opinions, and sentiments in expert reviews, including technical data traditionally classified as neutral, such as horsepower and battery range. A semantic extension of Backus–Naur Form (BNF) structures input queries for syntactic and semantic accuracy, while a 2-

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Dr., Anitha S., G. Balasurya, Vishruth N. V. Dinu, C. Jenish, and A. Kathiresh. "AI Based Automated MCQ Generator." Journal of Advancement in Software Engineering and Testing 8, no. 3 (2025): 44–50. https://doi.org/10.5281/zenodo.15575106.

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<em>This project aims to develop an AI-based Automated MCQ Generator that can dynamically generate multiple-choice questions from user-provided input such as text topics or uploaded study materials. The development of an AI-powered Automated MCQ Generator capable of dynamically creating multiple-choice questions based on user inputs, including uploaded study materials (PDF, DOCX, TXT files) or manually entered topics. Unlike traditional systems that depend on a pre-existing question database, our solution leverages the Gemini API to generate fresh, contextually relevant questions in real time.

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Nageswari, A. "Healthcare Appointment System." International Journal for Research in Applied Science and Engineering Technology 13, no. 4 (2025): 1238–42. https://doi.org/10.22214/ijraset.2025.68489.

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The Healthcare Appointment System (HAS) is a sophisticated web-based application developed using HTML, CSS, Bootstrap, PHP, MySQL and having a Gemini API powered chatbot for quick suggestions if any doctor is not available in the meantime. It is designed to streamline the management of hospital operations by providing distinct modules for patients, doctors, and administrators. The system facilitates efficient handling of appointments, patient records, doctor schedules, and feedback, thereby enhancing the quality of healthcare services. The HAS aims to offer a user-friendly interface that simpl

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Adharsh, Maddipatla, Chandan B. N, Kolakaru Vishnu Vardhan, and ,. Jathin B S. "CUSTOMER SUPPORT CHATBOT WITH ML FOR RESTAURANT." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 01 (2025): 1–9. https://doi.org/10.55041/ijsrem40554.

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This project introduces a machine learning- powered chatbot to assist customer in resolving queries related to Order Food in Restaurant offering seamless interaction and an enhanced customer experience. Key features include interactive menu browsing, cart management, and order placement for delivery or pickup, supported by real-time order tracking and personalised recommendations using natural language processing (NLP). The chatbot also offers voice-to-text functionality for accessibility, multi-language support, advanced payment integration, and a loyalty rewards system. An admin panel facili

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Akkamahadevi C, Ms. "AI Powered Legal Documentation Assistant." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem47468.

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Abstract Legal documentation plays a critical role in business operations, regulatory compliance, and individual legal matters, yet it remains a complex, time-consuming, and often costly process. Many individuals and small businesses struggle with understanding legal jargon, ensuring compliance, and managing contracts without professional legal assistance, leading to risks of misinterpretation and legal disputes. This report introduces an AI-powered Legal Documentation Assistant that leverages the Gemini API to automate key legal processes, including document analysis, clause extraction, contr

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Adharsh, Maddipatla. "“Customer Support Chatbot with MI for Restaurant”." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem47912.

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Abstract- This project introduces a machine learning- powered chatbot to assist customer in resolving queries related to Order Food in Restaurant offering seamless interaction and an enhanced customer experience. Key features include interactive menu browsing, cart management, and order placement for delivery or pickup, supported by real-time order tracking and personalised recommendations using natural language processing (NLP). The chatbot also offers voice-to-text functionality for accessibility, multi-language support, advanced payment integration, and a loyalty rewards system. An admin pa

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14

Triveni, Gedela. "AI PLACE FINDER." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem48026.

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Abstract The AI Place Finder is a web application built on top of the MERN stack (MongoDB, Express. js, React. js, Node. js) which simplifies and personalizes travel planning by using Artificial Intelligence and real-time data. It requires users to input their preferences (like where to go, how many people will be with you and what the budget will be), and is based on the Gemini AI API. With the help of one’s preferences in order to show the most appropriate places to visit, the app makes recommending travel destinations easier and more personal. In addition, the app integrates with Google Map

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15

Adeeba, Tarannum and Dr. S. H. Rizwan. "STABILITY INDICATING METHOD DEVELOPMENT AND VALIDATION OF SIMULTANEOUS ESTIMATION OF DOMPERIDONE AND NAPROXEN IN BULK AND TABLET DOSAGE BY RP HPLC." INDO AMERICAN JOURNAL OF PHARMACEUTICAL SCIENCES 05, no. 11 (2018): 11719–28. https://doi.org/10.5281/zenodo.1481779.

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<em>A rapid and precise Reverse Phase High Performance Liquid Chromatographic method has been developed for the validation of Domperidone and Naproxen in its pure form as well as in tablet dosage form. Chromatography was carried out on a Phenomenex Gemini C18 (4.6×250mm) 5µ column using a mixture of Acetonitrile: Water (10:90 v/v) as the mobile phase at a flow rate of 1.0ml/min, the detection was carried out at 264nm. The retention time of the Domperidone and Naproxen was 2.121, 3.643 ±0.02 mins, respectively. The method produced linear responses in the concentration range o

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16

Mallick, Sinchan. "AI Powered Education." International Journal for Research in Applied Science and Engineering Technology 13, no. 5 (2025): 2263–71. https://doi.org/10.22214/ijraset.2025.70678.

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Education, as a vital institution, continuously benefits modernization, with artificial intelligence (AI) driving a paradigm shift in teaching and learning. This research presents an AI-powered e-learning system that delivers personalized academic notes tailored to students' needs. Utilizing a Large Language Model (LLM) like Gemini, the system comprehends student queries more effectively, enabling customization of content across diverse subjects and academic levels. Prompt engineering ensures that information remains accessible, accurate, suitable for different age groups. Key features of the

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M.E, Ms P. Anita. "REAL TIME COLLABORATIVE CODE EDITOR." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 07 (2024): 1–6. http://dx.doi.org/10.55041/ijsrem36260.

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This project presents a real-time collaborative code editor, uniquely enhanced with a voice chat feature to facilitate seamless communication among team members. Built using Express.js for the backend and Next.js for the frontend, and utilizing a Firebase database for efficient data management, the system offers a user-friendly and interactive interface. Key functionalities include a login page where users can sign up with their name, email ID, and password, and an interactive dashboard for managing projects. Projects can be categorized as public or private, with public projects accessible to

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18

Hali, Ahmad Altaf, Umar Mansyuri, and Rahadian Arief. "Design Of Web-Based E-Report Information System For Paud At-Taqwa Using Laravel Framework." Brilliance: Research of Artificial Intelligence 5, no. 1 (2025): 405–17. https://doi.org/10.47709/brilliance.v5i1.6346.

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Manual student report card management at PAUD At-Taqwa poses critical challenges, including significant time inefficiency in daily assessments, the high risk of physical data loss, and limited parental access to timely child development information. This research aims to design and build a web-based e-report card information system to resolve these issues by integrating the entire assessment workflow into a single, centralized digital platform. The system was developed using the waterfall model, which includes the stages of requirements analysis, system design using Unified Modeling Language (

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Maranchak, Mykola. "Prospects for Applying Artificial Intelligence Technologies by Public Libraries of Ukraine." Ukrainian Journal on Library and Information Science, no. 13 (July 1, 2024): 61–71. http://dx.doi.org/10.31866/2616-7654.13.2024.307118.

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The aim of the article is to study prospects for the artificial intelligence technologies usage by public libraries of Ukraine in conditions of digital transformation of society. Research methods. General scientific research methods are used, in particular, analysis and generalisation of possibilities of language prognostication models based on neural networks in the activity of Ukrainian public libraries. The scientific novelty of the obtained results consists in actualising the problem of using ChatGPT 3.5, Gemini, Microsoft Bing and Grok technologies in the library sphere, and outlining the

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Maranchak, Mykola. "Prospects for Applying Artificial Intelligence Technologies by Public Libraries of Ukraine." Ukrainian Journal on Library and Information Science, no. 13 (July 1, 2024): 61–71. https://doi.org/10.31866/2616-7654.13.2024.307118.

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<strong>The aim of the article </strong>is to study prospects for the artificial intelligence technologies usage by public libraries of Ukraine in conditions of digital transformation of society. <strong>Research methods. </strong>General scientific research methods are used, in particular, analysis and generalisation of possibilities of language prognostication models based on neural networks in the activity of Ukrainian public libraries. <strong>The scientific novelty </strong>of the obtained results consists in actualising the problem of using ChatGPT 3.5, Gemini, Microsoft B

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K V S, Aditya. "An AI-Driven Approach to Automatic Code Analysis and Summarization for Enhanced Software Understanding." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 01 (2025): 1–9. https://doi.org/10.55041/ijsrem40725.

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- The AI-Driven Code Analyzer is an innovative tool designed to address the challenges developers, students, and educators face in understanding complex code. With programming becoming an integral part of various industries, the need for accessible tools that simplify code comprehension has never been greater. This tool allows users to input code and receive detailed, step-by-step explanations of its functionality, helping to demystify programming logic and enhance understanding. Whether it’s a beginner struggling with foundational concepts or an experienced programmer dealing with an unfamili

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Mohammed Ishaq Ahmed, Mohammed Mahmood Ali Junaidi, Mohammed Irfan, and Dr. Syed Asadullah Hussaini. "MEDILINK." International Journal of Information Technology and Computer Engineering 13, no. 2s (2025): 219–24. https://doi.org/10.62647/ijitce2025v13i2spp219-224.

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Medilink is one of the most innovative health platforms that brings all the healthcare solutions together into one accessible interface. Unlike traditional systems that are different and manual in handling records, reminders, and diagnostic tools, Medilink has been brought together in one approach that makes healthcare easy to manage and more efficient. One of its stand out features is digital prescription storage to ensure patients have their medical history available at a moment's notice, loss of paper prescriptions is thus eliminated. This is really helpful in case of emergency as all healt

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Prof. Pallavi Chandratre, Saiprasad Jadhav, Abhishek Shirke, and Rohan Patel. "EcoGen: Generative Landscape Design." International Journal of Advanced Research in Science, Communication and Technology, April 14, 2025, 16–22. https://doi.org/10.48175/ijarsct-25204.

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EcoGen is an AI-driven application planned to revolutionize generative scene plan by coordination Google’s Generative AI API and leveraging the Gemini AI suite. It permits clients to characterize key parameters such as landscape highlights, plant species, and climate conditions, producing environmentally adjusted and outwardly compelling 3D scene models. At its center, EcoGen utilizes Generative Antagonistic Systems (GANs) to make feasible and versatile plan arrangements. Built with Python and Streamlit, the stage guarantees an instinctive, intuitively encounter custom-made for scene planners,

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Asst. Prof. Rachana Borole, Prerana Sakpal, Tushar Joshi, and Raj Mishra. "YaadVrutt: A Digital Solution for Memory Management and Cognitive Assistance." International Journal of Advanced Research in Science, Communication and Technology, April 6, 2025, 395–402. https://doi.org/10.48175/ijarsct-24947.

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YaadVrutt: A Digital Solution for Memory Management and Cognitive Assistance is a mobile application designed to enhance the quality of life for individuals with memory-related challenges, particularly dementia patients. It fosters seamless caregiver communication through key features such as an emergency SOS system that alerts caregivers with the patient’s location via SMS and call. A medicine reminder with text-to-speech (TTS) ensures timely medication adherence. The Memory Book allows patients to store event details with images and descriptions, promoting cognitive engagement. Additionally,

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25

Bambal, Saurabh, Jayesh Deshmukh, Mohit Bhagat, Sachin Thakare, and Shubhangi Gulhane. "Implementation of ‘Legal Aid: Know Your Rights’: A Digital Platform for Legal Assistance." International Journal For Multidisciplinary Research 7, no. 2 (2025). https://doi.org/10.36948/ijfmr.2025.v07i02.41889.

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"Legal Aid: Know Your Rights" is a modern web-based platform developed to make legal information more approachable and understandable for everyday users. It focuses on breaking down complex legal topics into simple formats, helping users—particularly those with limited legal access—learn about their rights and available processes. The application is built using React.js, Tailwind CSS, Supabase, and TypeScript, offering a clean, responsive, and intuitive user experience across devices. The platform provides several key features: a searchable legal glossary, predefined legal document templates w

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Srinidhi, C. R., Patil Ravikanth, M. Krishna, Zabiulla Mohammed, and Naga Siva Ram Reddy Modugula. "VendorVision: A Cloud application for customer review analysis." June 7, 2025. https://doi.org/10.5281/zenodo.14685373.

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The purpose of this work is to assist retail store owners by transforming customer reviews/feedback into insights using NLP and Generative AI. The application enables different retail businesses to capture, store and visualize customer feedback from the online compendium of reviews- Google Maps. This way, it empowers the system on extracting sentiment analysis, key business topics, and trends related to customer sentiment, chronic issues, and tangible solutions via Natural Language API by Google Cloud and Gemini recommendations. Using real-time data feeds and historical feedback, the platform

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Sánchez Herrero, Sergio, and Laura Calvet Liñan. "Assessing the potential of generative Artificial Intelligence models to assist experts in the development of pharmacokinetic models." Advanced Pharmaceutical Bulletin, June 3, 2025. https://doi.org/10.34172/apb.025.43852.

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Purpose: This study explores the potential of generative AI models to aid experts in developing scripts for pharmacokinetic (PK) models, with a focus on constructing a two-compartment population PK model using data from Hosseini et al. (2018). Methods: Generative AI tools ChatGPT v3.5, Gemini v2.0 Flash and Microsoft Copilot free could help pharmacokinetics professionals— even those without programming experience—learn the programming languages and skills needed for PK modeling. To evaluate these free AI tools, PK models were created in R Studio, covering key tasks in pharmacometrics and clini

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Bai, Yunpeng, Ying Li, Zhizhong Tang, et al. "Urinary proteome analysis of acute kidney injury in post-cardiac surgery patients using enrichment materials with high-resolution mass spectrometry." Frontiers in Bioengineering and Biotechnology 10 (September 13, 2022). http://dx.doi.org/10.3389/fbioe.2022.1002853.

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Background: Cardiac surgery-associated acute kidney injury (CSA-AKI) may increase the mortality and incidence rates of chronic kidney disease in critically ill patients. This study aimed to investigate the underlying correlations between urinary proteomic changes and CSA-AKI.Methods: Nontargeted proteomics was performed using nano liquid chromatography coupled with Orbitrap Exploris mass spectrometry (MS) on urinary samples preoperatively and postoperatively collected from patients with CSA-AKI. Gemini C18 silica microspheres were used to separate and enrich trypsin-hydrolysed peptides under b

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