Volume 13 | Issue 4 |

 Abstract

The Employee Performance Appraisal System in a BPO (Business Process Outsourcing) environment is designed to evaluate and enhance employee productivity, identify training needs, and align individual goals with organizational objectives. In the high-paced and target-driven BPO sector, timely and accurate performance evaluation is critical for maintaining service quality and employee satisfaction. This system automates the appraisal process using key performance indicators (KPIs) such as attendance, quality of work, target achievement, customer feedback, and teamwork. It provides a transparent and structured framework for performance reviews, incorporating self-assessment, peer reviews, and managerial evaluations. By leveraging data analytics and user-friendly dashboards, the system ensures fair assessment, reduces manual bias, and helps in identifying top performers and underperformers. The overall goal is to foster a performance-driven culture, support career development, and improve organizational efficiency.

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 Keywords

project disclose the present appraisal system and future expectations in AI based system

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Identity endorsements by Celebrities act as a fundamental factor which determines how consumers view brands and establish trust as well as brand devotion. This research analyzes trustworthiness as well as brand endorsement effects through an evaluation of 150 subject participants. A celebrity controversy has the power to damage brand image and visibility and steer customers toward different choices about the brand's quality and cost. Future research must analyze if influencer sponsorships create more effective brand and attractiveness endorsements than traditional celebrity endorsements do. Trust from consumers emerges as a factor but its authority depends on how much fame and expertise the celebrity possesses. Product research should analyze monetary benefits of expanded knowledge about endorsement approaches even though brand recognition benefits from endorsements.

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 Keywords

Celebrity Endorsement, Brand Trust, Consumer Behavior, Advertising Strategy, Social Media Marketing, Brand Awareness

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Janapada Loka mattu Kannada Sanskrrti

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Janapada Loka mattu Kannada Sanskrrti

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Creative Commons Attribution 4.0 and The Open Definition

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The main focus of the research is to study strength characteristics of pervious concrete and it's permeability. Pervious concrete's high porosity often leads to a honeycomb structure, which can compromise its strength compared to conventional concrete. Pervious concrete is a special kind of concrete which allows water to flow through it because of its high porosity and therefore high permeability. Therefore the pervious concrete can be used as solutions to many problems such as drainage problems, ground water table recharge, sustainable development. In pervious no fine aggregates are used or sometimes fine aggregates are used to very little extent. There are various application of pervious concrete. It can be used in basement drainage, pedestrian walkways, local streets, low traffic highway, parking lots.

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Creative Commons Attribution 4.0 and The Open Definition

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Pervious Concrete, Porous Concrete, Permeability, No-fine Concrete.

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Creative Commons Attribution 4.0 and The Open Definition

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Herbal medicine, being derived from plants, has been practiced for centuries by various cultures due to its therapeutic use. Natural remedies are now becoming popular in modern society since they are thought to be safe, accessible, and even potent in healing many health conditions.

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: Natural Healing, Immunity Boost, Anti-inflammatory, Digestive Health, Skin Care.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

i want to survey people and ask them about variety topics

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Creative Commons Attribution 4.0 and The Open Definition

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electric two-wheeler automobiles, consumer perception

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Creative Commons Attribution 4.0 and The Open Definition

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The Indian Sign Language (ISL) is essential for communication among the deaf and hard-of-hearing community. However, the lack of widespread ISL understanding creates a communication gap. This research focuses on developing an ISL recognition system using Long Short-Term Memory (LSTM) networks and OpenCV to process video inputs, extract features, and recognize dynamic hand gestures in real-time. The system employs pose estimation techniques to detect hand movements and classifies them using LSTM-based deep learning models. The proposed approach achieves high accuracy, ensuring a robust and scalable solution for real-time ISL interpretation.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Indian Sign Language (ISL), LSTM, OpenCV, Gesture Recognition, Deep Learning, Real-Time Processing, MediaPipe, Neural Networks, Computer Vision, Assistive Technology.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Maintaining discipline and security in educational institutions requires ensuring adherence to standard regulations. YOLOv11, OpenCV, and dlib are used in this study's AI-driven real-time Uniform Detection System to automatically identify and categorise people according to their uniform status. The device uses face recognition to identify pupils and confirm that they are wearing the necessary uniform. It also incorporates a video capture camera for ongoing surveillance. An automatic email notice is sent to the relevant authorities and pupils in the event that a uniform violation is found. A unique YOLOv11 dataset is used to train the algorithm, guaranteeing precise distinction between uniforms and casual attire. The device also flags any security issues by identifying unauthorised individuals. The system saves captured frames of infractions for later study and keeps detection logs with timestamps, uniform status, and facial recognition results to improve data management. Notifications are tracked via logging email alerts. OpenCV is used for real-time image processing, Roboflow is used for dataset preparation, and Google Colab is used for model training. This automated method guarantees adherence to institutional policies, improves security, and decreases the need for manual oversight. IoT-based remote alerts and dataset extension are examples of future advancements that will increase accuracy and dependability.

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AI surveillance, YOLOv11, uniform detection, facial recognition, OpenCV, real-time monitoring, student identification, automation, object detection, data storage, school security, compliance tracking, discipline enforcement.

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Creative Commons Attribution 4.0 and The Open Definition

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The AI system called "Road Traffic Analysis Using YOLO-V4 & Deep Sort" uses advanced technology to automate vehicle tracking in real time. Increasing numbers of urban residents and cars place heavy burdens on current traffic management systems that operate slowly and have limits. This project solves video monitoring difficulties by using YOLO-V4 for object detection and Deep Sort for multi-object tracking to process both streaming and recorded videos. The system recognizes motor vehicles, gives those ID numbers, and follows them across several images to reveal road patterns and vehicle movement. The system uses improved processing tools such as non-max suppression and Kalman filter methods to detect objects reliably. The system uses these technologies together with Python and TensorFlow to work in all types of roads and smart city settings at top speed. This project lets transportation authority's control road activity better to ease congestion and better protect their users. Our project will keep improving through the addition of traffic flow prediction systems based on IoT technology plus cloud architecture for wider implementation. Most modern traffic systems would benefit from the addition of smart tolling functions plus automatic detection of crimes and self-driving car assistance as part of intelligent transportation research.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

YOLO-V4 , Deep Sort, Kalman Filter, Python , Tensorflow, Object Detection.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Intelligent SMS Spam Classifier is a Flask web tool that uses a Multinomial Naive Bayes model to spot and block spam messages. Text preprocessing through CountVectorizer lets the system find spam accurately while identifying regular messages. More sophisticated rules are required to handle the growing number of spam messages which use phishing and fraud tactics. The project improves how well machine learning can detect spam by making it more flexible across different environments. The easy-to-use Flask framework lets people use their phones or PCs to classify messages live. The system can detect spam patterns from different kinds of text through its training on a wide variety of SMS data. Our system reliability increases through security features which include input protection checks and HTTP data encryption plus constant incoming message speed management. The application provides flexibility to use either local resources or cloud services such as Heroku and AWS as its deployment platforms. The system will gain more capabilities through support for different languages along with deep learning technology and API-based filtering systems with a mobile app addition.

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 Keywords

CountVectorizer, Intelligent SMS Spam Classifier, Naive Bayes Model.

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Creative Commons Attribution 4.0 and The Open Definition