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Rake- A cross-platform digital product

Rake is a cross-platform release-ready digital product that is a production-level app, making use of all the latest Firebase technologies. This app uses Firebase MLKit, Firebase Firestore & Firebase Authentication for its core functionality. It also uses libraries like Retrofit, Glide, GSON, and more third-party libraries for other functionalities. Firebase MLKit is used to recognize handwriting and text in images, objects in images, and also scan barcodes. This contributes to the main purpose of our app, which labels images and provides the user with context-aware actions of what the user can do next. Firebase Authentication is used to authenticate and help users log in & signup into the app. This uses OAuth 2.0 under the hood, so it is a very secure mechanism for login. Firebase Firestore is used as a database to store the user’s scanned data so that he can refer to it for later use. We’re also using our own custom TensorFlow Lite model, named ‘mobilenet’, to detect images. The app can be accessed via the web portal as well. Firebase Authentication lets the user login on to the web portal, which can be found at the rake.now.sh, and give the user access to his data on Firebase Firestore. This extended functionality where the user can access his data enhances the ease of use and makes sure that the user doesn’t always need a mobile device to see his previously scanned data.

Published by: Ganavi J., Amith S. Bharadwaj

Author: Ganavi J.

Paper ID: V7I5-1164

Paper Status: published

Published: September 4, 2021

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Research Paper

Effectiveness of Doula care on anxiety and labor outcome among parturients

Pregnancy is a natural event, speculated to be of celebration and joy. But anxiety and fear about childbirth often inhibit most women from enjoying this childbirth experience. Supportive measures involve continuous support during labor by doula and doula care is effective in these situations to reduce anxiety. This study was conducted to assess the effectiveness of doula care on anxiety and labor outcome among parturients in Kanyakumari, India. Methods: This was a quasi-experimental study, conducted among 30 primi parturients who were selected using consecutive sampling techniques, in 2021 in Kanyakumari, India. The tools used for data collection was interview schedule composed of demographic and obstetrical variables, anxiety scale, and labor outcome checklist. Collected data is entered in Excel and analyzed in SPSS 20 using appropriate descriptive (f,%) and inferential statistics (Independent ‘t’ test). Results: Regarding anxiety pretest anxiety scores did not differ significantly between the experimental and control group (p=1.000). After doula care, in the post-test, there was a significantly low anxiety level in the experimental group as compared to the control group (P & lt; 0.001). Conclusion: Doula care is effective in the reduction of anxiety and promotes labor outcomes during childbirth.

Published by: Joylet Paulian, Dr. Arzta Sophia R., Dr. Santhi Appavu

Author: Joylet Paulian

Paper ID: V7I5-1163

Paper Status: published

Published: September 4, 2021

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Research Paper

Building an Intelligent Agent to play Flappy Bird using NEAT

Games are an efficient way to measure the progress of AI. Artificial intelligence has been making rapid advances in recent years, and one way to see how it is progressing is by playing games. Go, Atari2600 and Chess are some AI agents which even defeated human players. These AI agents require or have a training stage involved. In this paper, we propose a training strategy to develop an Artificial Intelligence agent using the NeuroEvolution of Augmenting Topologies (NEAT) algorithm to play the Flappy Bird Game. NEAT basically implements a genetic algorithm that generates ANNs. Our agent learns to safely dodge all the barriers and flap its way through them, optimally playing the famous “Flappy Bird” game.

Published by: Pratik Manoj Desai, Rhugaved Rajendra Narmade

Author: Pratik Manoj Desai

Paper ID: V7I5-1155

Paper Status: published

Published: September 4, 2021

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Research Paper

Analysis of Bitcoin and Blockchain using Game Theory and Behavioural Economics

This paper presents a brief overview of the role that game theory plays in Blockchain Technology and the Bitcoin market, with a focus on how human behavior influences the market for digital currencies. Through this analysis, the viability of digital currencies as a replacement for conventional money is explored.

Published by: Aishi Basu

Author: Aishi Basu

Paper ID: V7I5-1153

Paper Status: published

Published: September 2, 2021

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Research Paper

Encryption and real-time decryption for protecting machine learning models in Android applications

With the Increasing use of Machine Learning in Android applications, more research and efforts are being put into developing better-performing machine learning algorithms with a vast amount of data. Along with machine learning for mobile phones, the threat of extraction of trained machine learning models from application packages (APK) through reverse engineering exists. Currently, there are ways to protect models in mobile applications such as name obfuscation, cloud deployment, last layer isolation. Still, they offer less security, and their implementation requires more effort. This paper gives an algorithm to protect trained machine learning models inside android applications with high security and low efforts to implement it. The algorithm ensures security by encrypting the model and real-time decrypting it with 256-bit Advanced Encryption Standard (AES) inside the running application. It works efficiently with big model files without interrupting the User interface (UI) Thread. As compared to other methods, it is fast, more secure, and involves fewer efforts. This algorithm provides the developers and researchers a way to secure their actions and making the results available to all without any concern.

Published by: Aryan Verma

Author: Aryan Verma

Paper ID: V7I5-1140

Paper Status: published

Published: September 2, 2021

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Research Paper

Open Pyramid Graph and Euler Circuit

The concept of open pyramid graph has been introduced and it has been established that it is closely related to BCK-algebra and Euler circuit.

Published by: Puja, Shree Nath Sharma, Ram Lakhan Prasad

Author: Puja

Paper ID: V7I4-1922

Paper Status: published

Published: September 2, 2021

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