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Daily Archives: January 27, 2025

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Automation Bot for Data Extraction and Processing

Automation Bot for Data Extraction and Processing
Authors:-Assistant Professor Ms. Shristy Goswami, Aditya Singh, Anant Shukla, Anurag, Divanshu

Abstract-This paper presents the development and implementation of an automation bot designed for efficient data extraction and processing tasks. The bot automates the process of accessing a website, downloading an input Excel file, and extracting account numbers from the file. It then compares the last four digits of each account number with the digits in the names of zip files available on the website. Upon finding a match, the bot downloads the corresponding zip file, extracts its contents, and processes the required data from the unzipped text file, subsequently loading this data into the specific account number’s field. This automation bot significantly enhances data handling efficiency, reduces manual errors, and streamlines the data management process.

DOI: 10.61137/ijsret.vol.11.issue1.127

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EMO Diary: Daily Diary with Sentiment Analysis

EMO Diary: Daily Diary with Sentiment Analysis
Authors:-Dr.Kavitha Soppari, Sk Hussain, Gvn Surya, M Pulla Rao

Abstract-The “Daily Diary Writer with Sentiment Analysis” project is a full-stack web application focused on enhancing personal well-being through sentiment analysis. Users can write daily diaries journals, and the system uses natural language processing to analyze the emotions expressed in their entries. This helps users reflect on their emotional patterns over time. Voice input allows for hands-free journaling, making the process more convenient and accessible. The project promotes self-reflection and emotional well-being through detailed sentiment insights.

DOI: 10.61137/ijsret.vol.11.issue1.126

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Implementing a Gamified Learning System for Enhancing Student Engagement and Motivation Using Reward-Based Mechanisms and Machine Learning

Implementing a Gamified Learning System for Enhancing Student Engagement and Motivation Using Reward-Based Mechanisms and Machine Learning
Authors:-Anand Sharma, Kunal Borage, Sujal Trivedi, Nikhil Neware, Professor Radhika Adki

Abstract-Student engagement would be one of the core elements that improve educational outcomes in the classroom. A gamification framework with machine learning would increase participation and personalize the experience of learning. The framework, through mechanics such as points, badges, leader boards, and challenges, encourages the participants to engage in the learning experience and enjoy it. However, machine learning facilitates adaptive learning by adapting the content based on the individual’s performance metrics. Student sentiment analysis helps to identify which students are in need of support, and predictive analytics would be used for identifying the students that may require more support. Real-time analytics allows teachers to keep track of student progression as well as classroom trends in real time. The system was designed to improve engagement and increase efficiency in the learning process. It considers the fact that competition can get unhealthy at times as well.

DOI: 10.61137/ijsret.vol.11.issue1.125

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