Relevant bibliographies by topics / Google ML Kit

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  1. Journal articles
  2. Dissertations / Theses
  3. Conference papers

Academic literature on the topic 'Google ML Kit'

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

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Journal articles on the topic "Google ML Kit"

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Kristianto, Ryan Putranda, Edwin Alexander, Yulia Wahyuningsih, Yosefina Finsensia Riti, Stephanus Surijadarma Tandjung, and Andre Hartanto. "Perancangan Aplikasi Android Katalog Buku Dengan Fitur Barcode Scanner Menggunakan Google ML Kit." Center for Sustainable Development Studies Journal (Jurnal CSDS) 1, no. 1 (2022): 9–14. http://dx.doi.org/10.37477/csds.v1i1.368.

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Teknologi Barcode Scanner merupakan teknologi lama dimana terdapat device khusus untuk melakukan scanning barcode atau QR Code. Namun apabila dikombinasikan dengan sebuah aplikasi ber-platform mobile khususnya Android, diperlukan sebuah teknologi khusus untuk mewadahinya yaitu teknologi Google ML Kit. Pada tulisan ini dijelaskan perancangan aplikasi katalog buku dengan fitur Barcode Scanner menggunakan Google ML Kit, dimana fitur Barcode Scanner tersebut digunakan untuk melakukan pencarian data katalog buku.
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Hartanto, Budi, Bramasto Wiryawan Yudanto, and Kustanto Kustanto. "IMPLEMENTASI GOOGLE ML KIT UNTUK LIVENESS DETECTION DALAM SISTEM FACE RECOGNITION: ANALISIS KINERJA DAN KEAMANAN PADA APLIKASI MOBILE." Biner : Jurnal Ilmiah Informatika dan Komputer 4, no. 1 (2025): 32–38. https://doi.org/10.32699/biner.v4i1.8870.

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Penelitian ini mengkaji implementasi Google ML Kit untuk deteksi liveness dalam sistem pengenalan wajah pada aplikasi mobile dengan tujuan untuk meningkatkan keamanan aplikasi dan mencegah ancaman spoofing. Pengenalan wajah telah banyak diterapkan dalam berbagai aplikasi, namun kerentanannya terhadap serangan menggunakan foto atau video statis menimbulkan tantangan besar dalam hal keamanan. Oleh karena itu, deteksi liveness yang mengidentifikasi apakah wajah yang dikenali merupakan wajah hidup menjadi sangat penting. Penelitian ini fokus pada integrasi teknologi liveness detection dalam pengen
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Brendiz Allain Alamil, Kristine Nazareno, Zinnielle Ann Santos, Joey Chua, and Eliza Ayo. "Development of MiniXplorer: An image recognition mobile application using google machine learning kit and text-to-speech integration." World Journal of Advanced Research and Reviews 25, no. 2 (2025): 899–911. https://doi.org/10.30574/wjarr.2025.25.2.0421.

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This study presents the development and evaluation of MiniXplorer, a mobile learning application designed for children that integrates Google’s Machine Learning Kit (ML Kit) for real-time image recognition and Text-to-Speech (TTS) technology for auditory feedback. Employing a mixed-method descriptive developmental approach, the research combined interviews, surveys, observations, and data analysis to assess the application’s functionality, performance, and user experience holistically. Technical evaluations revealed MiniXplorer’s robust image processing capabilities across diverse parameters:
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Alan, Beno, Krishnan Akshay, U. Aswanth, Rizwi Saeed, and M. P. Ambili. "FitQuest – Personal Fitness App." Recent Trends in Computer Graphics and Multimedia Technology 7, no. 3 (2025): 12–15. https://doi.org/10.5281/zenodo.15516962.

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<em>FitQuest is a fitness app designed to make home workouts more engaging by incorporating gamification elements. It tailors&rsquo; exercises such as squats and pushups, offering real-time feedback on form using Google's ML Kit for posture detection. The app boosts user motivation with rewards, progress tracking, and social interactions like challenges. Its development employs user-centered design principles and continuous improvement based on testing. The effectiveness of FitQuest will be assessed through user participation and adherence metrics, with future enhancements planned for AIpowere
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Ahmad, Fajar Abdillah, and Nunik Pratiwi. "Implementation of Face Recognition, Attendance Detection, and Geolocation using TensorFlow Lite and Google ML Kit in a Mobile Attendance Application." SISTEMASI 14, no. 1 (2025): 172. https://doi.org/10.32520/stmsi.v14i1.4775.

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G,, Anvith. "Talking Fingers: A Multilingual Speech-to-Sign Language Converter." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 01 (2025): 1–9. https://doi.org/10.55041/ijsrem40782.

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Communication is a basic human need, but thousands of people with hearing and speech impairments face limitations in everyday communication "Talking Fingers" is a modern assistive technology tool that transfers spoken or written language to Indian Sign Language (ISL). With multilingual capabilities, the tool provides technologies such as Google ML Kit for language recognition, MyMemory API for translation, ISL grammar services for more than one language and several languages accessible at a time Translated ISL will, a it provides a simple and powerful communication channel. The system outlines
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Nakhate, Sarthak. "“A Machine Learning Approach to Assessing Packaged Food Healthiness and Recommending Healthier Alternatives via Mobile Application”." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 06 (2025): 1–9. https://doi.org/10.55041/ijsrem50301.

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Abstract - This research presents an AI-powered Android application designed to assess the healthiness of packaged food products and offer healthier alternatives based on nutritional data. Users can scan barcodes to retrieve product information via the OpenFoodFacts API, including details such as sugar, fat, and salt content. The application evaluates these values using a machine learning model, predicting a health score out of 100. A key innovation of this system is its ability to recommend alternative products that score higher in health value, aligning with the user's dietary preferences an
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Abadi, Adelano Nur, and Farida Ardiani. "PERANCANGAN SISTEM INFORMASI MANAJEMEN STOK DAN PENJUALAN BUKU BERBASIS ANDROID PADA MUSI BOOKSTORE." Djtechno: Jurnal Teknologi Informasi 5, no. 3 (2024): 570–83. https://doi.org/10.46576/djtechno.v5i3.5229.

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Pengelolaan toko buku secara digital sangat diperlukan untuk meningkatkan efisiensi dan kualitas pelayanan, terutama dalam era digital yang semakin berkembang. Penelitian ini bertujuan untuk mengembangkan aplikasi mobile berbasis Android yang dapat membantu manajemen stok dan transaksi penjualan dengan fitur pemindaian barcode menggunakan teknologi Google ML Kit. Fitur utama dari aplikasi ini adalah kemampuan untuk memindai barcode secara real-time, yang mempercepat proses pengelolaan stok dan memungkinkan pengidentifikasian buku secara otomatis tanpa proses manual yang memakan waktu. Metode p
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Abdullah, Fahmi Fauzi, and Soffiana Agustin. "PENERAPAN BIOMETRIC FACE RECOGNITION MENGGUNAKAN METODE CONVOLUTIONAL NEURAL NETWORK PADA APLIKASI BERBASIS ANDROID." INDEXIA 6, no. 1 (2024): 1. http://dx.doi.org/10.30587/indexia.v6i1.4958.

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A security system with a high level of accuracy is needed to prevent data leakage, one way to prevent data leakage is to implement a face recognition biometric security system in a login system. In this study, the application of face recognition was carried out in the online workshop application login system (Mecha). The implementation is carried out using the Convolutional Neural Network method which is applied to android-based applications using tensorflow lite by adding assets with the .tflite extension to the Android Studio Integrated Development Environment (IDE) as well as the Google ML
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La Fauci De Leo, Andrea, Pooneh Bagheri Zadeh, Kiran Voderhobli, and Akbar Sheikh Akbari. "A New AI Framework to Support Social-Emotional Skills and Emotion Awareness in Children with Autism Spectrum Disorder." Computers 14, no. 7 (2025): 292. https://doi.org/10.3390/computers14070292.

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This research highlights the importance of Emotion Aware Technologies (EAT) and their implementation in serious games to assist children with Autism Spectrum Disorder (ASD) in developing social-emotional skills. As AI is gaining popularity, such tools can be used in mobile applications as invaluable teaching tools. In this paper, a new AI framework application is discussed that will help children with ASD develop efficient social-emotional skills. It uses the Jetpack Compose framework and Google Cloud Vision API as emotion-aware technology. The framework is developed with two main features des
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Dissertations / Theses on the topic "Google ML Kit"

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Sahiti, Ylli. "OCR algoritmers noggrannhet och snabbhet vid identifieringen av text på olika typer av bakgrund : En jämförelse mellan OCR - algoritmerna Tesseract och Google ML-Kit." Thesis, Jönköping University, JTH, Avdelningen för datateknik och informatik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-53789.

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SyfteOCR, optical character recognition, algoritmer kan implementeras på olika sätt, de påverkar även resultatet både beroende på vilken implementation som används och vilket dataset som det används på. Därför är det viktigt att testa de olika OCR algoritmerna på just det dataset som är tänkt att användas för att få ett förutsägbart resultat. Metod60 bilder är tagna på innehållsförteckningar tryckta på svenska livsmedelsprodukter med tre olika bakgrundsytor, aluminium, konvexa ytor och mjukplast. Två OCR algoritmer, ML Kit och Tesseract, har jämförts med avseende på precision och hastighet i s
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Conference papers on the topic "Google ML Kit"

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Krishanamurthy, Vallidevi, Aleena Bosco Kurumthottam, Shireen Aliza Ali, et al. "Smart Expiry Tracker and Product Recommender using Google ML Kit OCR Engine." In 2024 International Conference on Computational Intelligence and Network Systems (CINS). IEEE, 2024. https://doi.org/10.1109/cins63881.2024.10864414.

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Eroğlu, Günet, and Mhd Raja Abou Harb. "Assessing Dyslexia with Machine Learning: A Pilot Study Utilizing Google ML Kit." In 2023 Medical Technologies Congress (TIPTEKNO). IEEE, 2023. http://dx.doi.org/10.1109/tiptekno59875.2023.10359236.

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Oprea, Marin. "INTEGRATION OF ARTIFICIAL INTELLIGENCE IN STEM EDUCATION THROUGH IOT PROJECTS BASED ON MACHINE LEARNING." In eLSE 2021. ADL Romania, 2021. http://dx.doi.org/10.12753/2066-026x-21-096.

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Artificial Intelligence (AI) is widely present in our daily lives: smartphones facial recognition systems, digital voice assistants, smart home devices, mobile banking, Google predictive searches, Netflix recommendation, Google Maps, ride-sharing apps, mobile banking etc. The field of AI is in a continuous and rapid development. This aspect gives to AI the status of a central pole in the process of digital transformation of society. The impact of AI on the Education sector is particularly visible: differentiated and individualized learning, automatic admin tasks, tutoring and support outside t
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Journal articles
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