{"title":"Lane Detection, Segmentation, Pothole Detection and Traffic Sign Recognition for ADAS","authors":"Aishwarya Jadhav, Prajakta Sawant, Sujata Jawale","doi":"10.47392/irjaem.2024.0333","DOIUrl":"https://doi.org/10.47392/irjaem.2024.0333","url":null,"abstract":"Lane detection, a critical aspect of advanced driver assistance systems (ADAS) and autonomous vehicles, is addressed in this work, combining classical computer vision methods with deep learning techniques. The proposed solution, utilizing a UNet-based model trained with TensorFlow and Keras, enhances vehicle perception for intelligent transportation systems. Integrated functionalities for pothole detection and traffic sign detection further contribute to safety and efficiency, enabling vehicles to identify road hazards and comply with regulations. The system encompasses data preprocessing, model training, and real-time video analysis, while a classical lane detection pipeline using OpenCV showcases various stages such as grayscale conversion, Gaussian blur, Canny edge detection, masking, Hough transform, and lane overlay. This comprehensive approach supports road safety, traffic management, and transportation efficiency initiatives, making significant strides in intelligent transportation systems and urban planning.","PeriodicalId":517878,"journal":{"name":"International Research Journal on Advanced Engineering and Management (IRJAEM)","volume":"57 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141813017","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Prof. A.V. Kanade, Prof. M.A. Rane, Smiti Sunil Chandwadkar, Yogita Sunil Khalate, Tanaya Harishchandra Mane, Ghanishtha Anil Rane
{"title":"Robotics’ Framework for IT Recruitment","authors":"Prof. A.V. Kanade, Prof. M.A. Rane, Smiti Sunil Chandwadkar, Yogita Sunil Khalate, Tanaya Harishchandra Mane, Ghanishtha Anil Rane","doi":"10.47392/irjaem.2024.0331","DOIUrl":"https://doi.org/10.47392/irjaem.2024.0331","url":null,"abstract":"The chatbot functions as a virtual assistant for engaging with candidates. Robotic framework for IT recruitments uses chatbot system for automating recruitment processes. With a growing pool of varied candidates and a growing need for experienced workers, the IT recruitment market is changing quickly. The robotic framework for recruiting is an automated hiring method that speeds up the hiring process by doing away with the need for the recruiter to physically be present. Our study will provide a novel strategy that incorporates all phases of a typical hiring procedure with appropriate oversight, giving the candidate a face-to-face interviewing experience. Organizations' methods for finding and onboarding talent have been completely transformed by the use of robotic technologies in IT recruitment procedures. First of all, automating the job application process simplifies the preliminary communications with candidates, increasing productivity and cutting expenses for HR departments. The need for effective and efficient procedures in the current IT hiring environment is constantly rising. The idea of an intelligent chatbot designed especially for the IT recruitment industry is presented in this abstract. By using machine learning techniques and natural language processing (NLP), this chatbot seeks to expedite the entire hiring process—from finding candidates to onboarding them. The chatbot can do first screening based on predetermined standards established by recruiters, gather and evaluate resumes from prospects, and converse with them in real time. In addition, it makes it easier for recruiters and candidates to communicate smoothly by setting up interviews, sending automated follow-up messages, and giving regular updates on the status of applications.","PeriodicalId":517878,"journal":{"name":"International Research Journal on Advanced Engineering and Management (IRJAEM)","volume":" 40","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141824614","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Prof. D. D. Pukale, Prof. V. D. Kulkarni, Julekha Bagwan, Pranali Jagadale, Sanjivani More, Renuka Sarmokdam
{"title":"Image Forgery Detection Using Deep Learning","authors":"Prof. D. D. Pukale, Prof. V. D. Kulkarni, Julekha Bagwan, Pranali Jagadale, Sanjivani More, Renuka Sarmokdam","doi":"10.47392/irjaem.2024.0327","DOIUrl":"https://doi.org/10.47392/irjaem.2024.0327","url":null,"abstract":"Image forgery is a big problem in digital media, making it important to have strong detection methods to fight misinformation and keep trust in visual content. In this project, we introduce an advanced image forgery detection system using VGG16, a powerful convolutional neural network, and Error Level Analysis (ELA) algorithms. Our goal is to create an efficient and accurate system that can identify real images from fake ones, especially focusing on detecting splicing and copy-move forgeries. By examining pixel intensities and patterns, our system can accurately find tampered areas, improving the integrity and trustworthiness of digital images. We use a diverse dataset of real and fake images from different sources to train and test the VGG16-ELA model. We aim to find the percentage of forgery, highlighting the forged areas and generating the mask of forged area. Through this effort, we aim to increase trust in visual content in fields like forensics, journalism, and social media, helping to ensure the reliability of digital information.","PeriodicalId":517878,"journal":{"name":"International Research Journal on Advanced Engineering and Management (IRJAEM)","volume":" 23","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141825960","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Solve the Mystery: DCGAN-Based Sketch to Real Face Conversion","authors":"Nishiket Waghmode, Pravin Bansode, Digambar Chalkapure, Ms. Uttara Varade","doi":"10.47392/irjaem.2024.0328","DOIUrl":"https://doi.org/10.47392/irjaem.2024.0328","url":null,"abstract":"This paper explores the advanced application of Artificial Intelligence (AI) in criminal identification through facial recognition, specifically by transforming forensic sketches into realistic photos using Deep Convolutional Generative Adversarial Networks (DCGAN). When a witness provides a description of a criminal, an expert creates a forensic sketch based on this description. By using DCGAN, this sketch is fed to into a neural network, which, after training, generates accurate, realistic facial images of the suspect. This technique significantly aids crime investigations by quickly producing detailed, high-resolution images from basic sketches, even those that are incomplete or depict various poses. The method is valuable in forensics, law enforcement, facial recognition, and security systems, enhancing the efficiency and accuracy of criminal identification","PeriodicalId":517878,"journal":{"name":"International Research Journal on Advanced Engineering and Management (IRJAEM)","volume":" 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141827200","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Fake Product Identification Using Block Chain","authors":"Sarvesh Nair, Afnan Rashid, Rohan Hardade, Sushmit Chetti, Prof. Sujata Jawale","doi":"10.47392/irjaem.2024.0330","DOIUrl":"https://doi.org/10.47392/irjaem.2024.0330","url":null,"abstract":"Fake items posture noteworthy financial misfortunes and dangers to shopper security over different businesses. Conventional anti-counterfeiting measures, such as visualizations and serial numbers, have demonstrated deficiently. This paper investigates how blockchain innovation can address the fake issue more successfully. By leveraging blockchain's decentralized record and cryptographic security, a morally sound and straightforward record of each step in the supply chain is made. Interesting item identifiers on this tamper-resistant stage empower exact verification, cultivating shopper believe. Savvy contracts inside the blockchain biological system robotize confirmation forms, decreasing human mistake and streamlining exchanges. The proposed framework includes enrolling producers on the blockchain organize, allotting special QR codes to items, and making shrewd contracts for item possession exchange. Shoppers can confirm item realness through a portable application. The utilize of agreement instruments and cryptographic methods guarantees information judgment and security. This investigate highlights blockchain's potential to improve supply chain perceivability, progress customer believes, and combat fake items, eventually cultivating a more secure and straightforward marketplace.","PeriodicalId":517878,"journal":{"name":"International Research Journal on Advanced Engineering and Management (IRJAEM)","volume":" 23","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141825566","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
J. D. Jadhav, Akanksha Ranpise, Divya Rane, Ridhima Bhat, Vaishnavi Shinde
{"title":"Unmasking Depression: Analyzing Disclosure Behavior on Social Media","authors":"J. D. Jadhav, Akanksha Ranpise, Divya Rane, Ridhima Bhat, Vaishnavi Shinde","doi":"10.47392/irjaem.2024.0329","DOIUrl":"https://doi.org/10.47392/irjaem.2024.0329","url":null,"abstract":"Mental stress is a significant concern in today's fast-paced world, and detecting and addressing it in its early stages is challenging. However, the rise of web-based social networks presents a unique opportunity to tackle this issue. By analyzing the correlation between users' stress states and their social interactions, a system is developed to understand the dynamics at play. The system uses a dataset gathered from real-world social platforms to analyze sentiment analysis on social media posts. This analysis allows for deeper insights into users' emotions and mental states, enabling the system to classify whether users are currently experiencing stress or not. Once a user's stress state is identified, the system takes proactive steps to offer support. It provides recommendations for nearby hospitals on a map, ensuring users in distress can access immediate assistance if necessary. Additionally, administrators send users a precautionary list via email, offering guidance and tips to promote healthier and happier lives. In conclusion, this system represents a holistic approach to addressing stress detection and management in the digital age. By examining the relationship between users' stress states and their social interactions, the system can provide early intervention and support. This system contributes to enhancing the overall well-being of individuals in an increasingly interconnected digital world.","PeriodicalId":517878,"journal":{"name":"International Research Journal on Advanced Engineering and Management (IRJAEM)","volume":" 43","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141824146","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Prashant A. Patil, Sneha N. Tambat, Dilip R. Birari, Pritesh B. Kardile
{"title":"Synthesis and Characterization of Chiral Impurities of Rivaroxaban, Used as an Anticoagulant Drug","authors":"Prashant A. Patil, Sneha N. Tambat, Dilip R. Birari, Pritesh B. Kardile","doi":"10.47392/irjaem.2024.0322","DOIUrl":"https://doi.org/10.47392/irjaem.2024.0322","url":null,"abstract":"The mechanism of action of the anticoagulant medication rivaroxaban is the direct and specific suppression of activated coagulation factor X (FXa). With just (S)-Rivaroxaban exhibiting pharmacological activity and (R)-Rivaroxaban being an impurity that must be controlled, this molecule only has one chiral centre. The present work describes the synthesis of chiral impurities of each intermediate, including KSM and its drug substance, and their characterization by spectral data (IR, MS, 1H-NMR, and 13C-NMR). The chiral impurity of drug substance is challenging during the process development of Rivaroxaban, and it is challenging for all pharmaceutical industries as well. The opposite isomeric impurity is introduced form its key starting material and it follows the same reaction mechanism path up to final drug substance. This work will help quality control (QC) to identify and control these impurities in the Rivaroxban drug substance as per ICH guideline. ","PeriodicalId":517878,"journal":{"name":"International Research Journal on Advanced Engineering and Management (IRJAEM)","volume":"14 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141645895","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Transforming Transactions: The Evolution of Fintech in Indian Banking Sector","authors":"Pankaj Yadav¹, Vaniki Joshi, Sakshi Lohani², Sonia Sharma³, Choudhary","doi":"10.47392/irjaem.2024.0319","DOIUrl":"https://doi.org/10.47392/irjaem.2024.0319","url":null,"abstract":"The payment systems in the Indian banking sector have undergone a remarkable transformation over the past few decades, evolving from traditional cash-based transactions to digital platforms. This research article explores the evolution of payment systems in India, tracing the journey from the early days of barter and cash transactions to the latest advancements in digital payment systems. The study highlights the key milestones, technological advancements, regulatory frameworks, and the impact of these changes on the economy and banking sector. The findings reveal that while technological innovations have greatly enhanced efficiency and convenience, challenges such as cybersecurity and regulatory compliance still remain. Future prospects indicate continuous growth and integration of advanced technologies like blockchain and artificial intelligence, promising further improvements in the payment landscape.","PeriodicalId":517878,"journal":{"name":"International Research Journal on Advanced Engineering and Management (IRJAEM)","volume":"16 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141648814","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Mutual Trust and Employee Engagement: Impact of Women Leadership","authors":"Mrs. Aparna Kulkarni","doi":"10.47392/irjaem.2024.0325","DOIUrl":"https://doi.org/10.47392/irjaem.2024.0325","url":null,"abstract":"Employee engagement have direct impact on organizational performance. When employee are more engaged with the organization, they feel more attached with their work and overall development of the organization. Effective Leadership plays a vital role in employee engagement by developing mutual trust and understanding between leader and follower. The present study tried to find out the relation between women leadership characteristics and their impact on developing mutual trust between leader and follower to enhance employee engagement in the organization. The data has been collected from more than 200 employees where women are working on higher or higher-middle level positions. Linear regression model has been used to find out the effect of women leadership characteristics on mutual trust and understanding. The questionnaire has been used on five-point lie cart scale. The result showed that idealized influence of women leaders have positive impact on mutual trust whereas contingency reward does not have much impact on mutual trust and understanding. Individual motivation also have positive impact on mutual trust and understanding though individualized consideration does not have much impact on mutual trust and understanding. Employee engagement shown positive correlation with mutual trust. Thus, overall, the study shows that women leadership characteristics have impact partially on mutual trust and understanding to enhance employee engagement.","PeriodicalId":517878,"journal":{"name":"International Research Journal on Advanced Engineering and Management (IRJAEM)","volume":"32 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141647650","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
GarimiTirumala Jyothesh Kumar, N Kumar, P. Sunil Reddy, B.S.A. Andrews
{"title":"Separation and Validation of Comprehensive Impurities in Erythromycin Tablets by using Rp-HPLC method","authors":"GarimiTirumala Jyothesh Kumar, N Kumar, P. Sunil Reddy, B.S.A. Andrews","doi":"10.47392/irjaem.2024.0321","DOIUrl":"https://doi.org/10.47392/irjaem.2024.0321","url":null,"abstract":"In this study a simple, rapid, accurate and precise gradientRP-HPLC method has been developed and validated for the separation of impurities (IMP) in Erythromycin (ERT-A) tablets pharmaceutical dosage form. The chromatographic separation was carried out on WatersX-Terra RP 18 (250 mm x 4.6 mm I.D., 3.5 µm particle size) at 65°C was used for this separation. Mobile Phase-A consists of Buffersolution (35 g of di-potassium hydrogen phosphate in 1000mL of water, adjust the pH7.0with dilute o-phosphoric acid, filtered through 0.45 µm membrane filter) acetonitrile and water in ratio of 5:35:60 v/v/v respectively. Mobile Phase-B consists of a mixture of phosphate buffer pH 7.0, water and acetonitrile in ratio of 5:45:50 v/v/v respectively .The flow rate and injection volume was 1.0 mL/min and 100 μL respectively. The analysis was carried out under the gradient conditions as time (min)/A (v/v): B(v/v); T0/100:00, T45/100:00, T47/0:100, T63/0:100, T65/100:00, and T70/100:00. The wavelength was identified at 215 nm. The ERT-Adegrades under various circumstances. The degradation products were well resolved from the ERT peaks. This method was found to be linear. The cumulative %RSD values are ;identified and found that they are within the range. From the study concluded that the method is accurate, specific, selective, precise, robust, and useful during the process development and quality check in finished dosage form manufacturing.","PeriodicalId":517878,"journal":{"name":"International Research Journal on Advanced Engineering and Management (IRJAEM)","volume":"28 20","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141647994","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}