Relevant bibliographies by topics / Gemini API Key

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Academic literature on the topic 'Gemini API Key'

Author: Grafiati
Published: 7 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "Gemini API Key"

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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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Conference papers on the topic "Gemini API Key"

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So, Jae Young, Amanda K. Smolarek, Noopur Shah, et al. "Abstract 929: Repression of CD44 is a key molecular action of a novel Gemini vitamin D BXL0124 to inhibit breast cancer cell invasion induced by HGF/Met signaling." In Proceedings: AACR 103rd Annual Meeting 2012‐‐ Mar 31‐Apr 4, 2012; Chicago, IL. American Association for Cancer Research, 2012. http://dx.doi.org/10.1158/1538-7445.am2012-929.

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Journal articles
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