Daily Archives: April 22, 2025

AI Chatbot
Authors:-Vipashyna Arun Sable, Professor Suresh Mestry

Abstract-AI chatbots can assist right away by answering questions, providing explanations, and pointing to more resources. Software applications like chatbots can aid teachers in many assignments and become excellent digital teaching assistants.Chatbots are software applications that respond to inputs in natural language. We can see that chatbots are now a part of our daily life. We use them every day to book a movie, reach the closest restaurant, or find an open ATMThese are chatbot software applications that have made life easy. But their uses are not restricted to this. They also entertain users who are bored, play a massive role in home automation projects, give business strategy suggestions, and aid in many other ways.The system was tested on various user inputs and usage scenarios and satisfactory results were observed for usability, accuracy, and responsiveness. The project brings highly evolved chatbot framework technologies like Rasa and chit-chat bots of the likes of facebook and wit.ai to beginner level with a responsive conversational chatbot which could be deployed with minimal coding efforts.The project shows how advanced AI could be used effectively with simple web technologies, and opens up the possibility of further development of using voice, multilingual support, and AI-powered customization.

DOI: 10.61137/ijsret.vol.11.issue2.365

Published by: Kajal Tripathi

E-Commerce Price Comparison System
Authors:-Assistant Professor Vimmi Malhotra, Kanchan Panwar, Jaya

Abstract-In recent years, mobile apps have become increasingly useful for everyday use. The objective of this project is to provide users with a convenient method to compare product availability and prices across different e-commerce platforms. By inputting the product details into the program, users can effortlessly compare prices from various sources. To compare the product details discovered on multiple websites simultaneously, the application’s databases are searched. To guarantee that they never overlook a fantastic deal, customers can also receive push notifications when items become available or go on sale.

DOI: 10.61137/ijsret.vol.11.issue2.364

Published by: Kajal Tripathi

A Novel IDS Framework Combining PCA and Random Forest
Authors:-Roshan Kumar S, Mageshwaran S D, Krithik S R, Dr. U. Surendar

Abstract-The aim of this project is to develop an application capable of identifying the type of attack on a system and detecting intruders using an intrusion detection system. [1] [6] Various machine learning techniques have been previously applied to IDS to enhance intrusion detection accuracy. This research introduces a novel approach by integrating principal component analysis and the random forest classification algorithm to build a more efficient IDS. PCA helps refine the dataset by reducing its dimensionality, simplifying data processing, while the random forest algorithm ensures precise classification of network activities. Experimental results indicate that this method outperforms traditional techniques such as support vector machine, naïve bayes and decision tree, delivering high accuracy. IDS functions as a network security measure, identifying threats, malicious activities, and attack types. A key limitation in conventional IDS is that if the primary detector fails, intrusions remain undetected. To address this, the proposed system implements multiple detection mechanisms, ensuring that if one detector fails, other continue monitoring and identifying threats, thereby, strengthening system security.

DOI: 10.61137/ijsret.vol.11.issue2.363

Published by: Kajal Tripathi

Complaint Management System for Migrant Workers in Tamil Nadu
Authors:-MS.B.Manjubashini, Ranjithkumar S, Sevvelkaran Palani Vetrivel, Srikanth S, Jahan V

Abstract- The proposed Complaint Management System for Migrant Workers in Tamil Nadu is a digital platform designed to empower migrant laborers by providing a streamlined, accessible, and multilingual interface for registering and tracking workplace grievances. Recognizing the diverse linguistic backgrounds and socio- economic challenges faced by migrant workers, the system incorporates features such as real- time complaint tracking and automatic translation of the app interface and complaint content into the worker’s native language (e.g., Hindi, Bengali, Odia, Telugu) This user-centric platform allows workers to easily lodge complaints related to: wage disputes, unsafe working conditions, harassment, poor living standards, and other labor rights violations. Each complaint is assigned a unique tracking ID, enabling real-time status updates through a simple dashboard. The translation feature ensures inclusivity, bridging the communication gap between workers, government authorities, and employers.

DOI: 10.61137/ijsret.vol.11.issue2.362

Published by: Kajal Tripathi