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202 articles for “Python”
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Hawk Eye Detection System (Using Python)
Abstract: Tennis and cricket are gaining popularity. Hawk eye is a modern tool that can be applied to any sport. Now a days there is lots of advancement in the sports technology. Hawk Eye first gained notoriety in television broadcasts of cricket. Broadcasters used Hawk-Cricket Eye's System at the 2006 ICC Champions Trophy in India, the World Cup, and important Test and ODI series all over the world since 2001. A …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 9, Issue 2, 2022 · pp. 8–14 Read article
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A Real-life Healthcare Chatbot with IBM Cloud Services in Python
Abstract: A chatbot or conversational specialist is a product that can speak with a human by utilizing normal language. One of the fundamental undertakings in computerized reasoning and normal language handling is the demonstrating of discussion. Since the start of man-made brainpower, it has been the hardest task to make a decent chatbot. Despite the fact that chatbots can perform numerous errands, the essential capacity they need to play is to …
Published in Recent Trends in Programming languages · Vol. 8, Issue 2, 2021 · pp. 1–4 Read article
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Machine Learning Using Python
Abstract: Machine learning (ML) is a subset of artificial intelligence (AI) that enables software applications to become more accurate at predicting outcomes without explicitly programming them to do so. Machine learning algorithms predict new output values by using historical data as input. In this project, we have used data from the 1994 U.S. Census to model people's income using numerous supervised algorithms of your choice. The best candidate algorithm will then …
Published in Recent Trends in Programming languages · Vol. 8, Issue 3, 2021 · pp. 25–37 Read article
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Predicting Parkinson’s Disease: Python Machine Learning
Abstract: Parkinson's disease is a progressive neurological disease that affects a large number of people and has a significant impact on their quality of life. Human motor function is mostly affected by this condition. "Parkinsonism" or "Parkinsonian" syndrome refers to the primary motor symptoms. Parkinson's disease causes tremors, rigidity, slowness of movement, and trouble walking, as well as changes in thinking and behaviour. Anxiety and despair are frequent as well. It …
Published in Recent Trends in Programming languages · Vol. 8, Issue 3, 2021 · pp. 38–41 Read article
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The Emergence of Personal Desktop Voice Assistants for Effortless Task Management
Abstract: In an era defined by rapid technological advancement, desktop voice assistants have emerged as crucial tools, not only for enhancing productivity but also for fundamentally reshaping digital interactions. This study delves into the transformative potential of voice-enabled artificial intelligence in task automation, emphasizing its profound impact on efficiency, accessibility, and overall user experience. By harnessing the power of natural language processing and machine learning, these desktop assistants facilitate hands-free operation, …
Published in Journal of Microelectronics and Solid State Devices · Vol. 12, Issue 3, 2025 · pp. 11–16 Read article
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A Comprehensive Tool for Authenticating Instagram Profiles Using Instaloader
Abstract: With the rapid growth of Instagram as a dominant social media platform, there is an increasing need for tools that allow users to extract, analyze, and monitor profile data efficiently. Instagram has become one of the leading platforms for personal branding, influencer marketing, business promotion, and public communication. As businesses and individuals seek to better understand their presence and influence on this platform, the need for reliable data extraction tools …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 93–98 Read article
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Optimization of Turning Process Parameters by Genetic Algorithm Approach
Abstract: In this research, turning parameters were optimized through a genetic algorithm for the purpose to minimize surface roughness and to maximize the material removal rate. High finish quality is guaranteed through minimum surface roughness, and efficient process planning is facilitated through maximum material removal rate optimization. For predicting surface roughness and material removal rate with respect to spindle speed, feed rate, and depth of cut, the empirical models were developed …
Published in Journal of Production Research & Management · Vol. 15, Issue 1, 2025 · pp. 33–41 Read article
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Traversal Speed Comparison of BFS and DFS in Balanced and Skewed Binary Trees
Abstract: In this paper, we provide an analysis of how well both breadth-first search (BFS) and depth-first search (DFS) algorithms perform while wandering through two kinds of binary trees: balanced and skewed. The research was motivated by the practical application of storing files and directories in a certain type of parent-child relationship through the use of hierarchical file systems (e.g., windows explorer). The result of measuring how fast and versatilely these …
Published in International Journal of Data Structure Studies · Vol. 4, Issue 2, 2026 Read article
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Empowering Accessibility: A Review of Text-to-Speech Systems for the Visually Impaired with Raspberry Pi
Abstract: The automatic text reader for people who are blind is presented in the paper. built on a Raspberry Pi. It makes use of computer programming and image sensing tools to identify printed characters employing optical character recognition technology. It creates machine-encoded text from an image using text that has been printed, typed, or written by hand. In the present work, text-to-speech synthesis and OCR are used to convert the image …
Published in Trends in Opto-electro & Optical Communication · Vol. 13, Issue 1, 2023 · pp. 16–21 Read article
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Harnessing the Role of Chatbot in Enhancing Educational Accessibility and Engagement
Abstract: Chatbots in education offer a valuable means to enhance accessibility and provide immediate, 24/7 support, assisting students and educators in accessing information and solving queries efficiently. They also contribute to personalized learning experiences, engaging students in interactive and informative interactions, ultimately fostering a more dynamic and effective educational environment. This research work delves into the creation and deployment of a chatbot, with a specific emphasis on its use within the …
Published in Journal of Advancements in Robotics · Vol. 10, Issue 2, 2023 · pp. 21–30 Read article
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Implementation Chatbot Whatsapp using Twilio and Rasa
Abstract: Virtual Private Server (VPS) usage is still quite pricey in India. In the IT industry, the chatbot application system is crucial, particularly for disseminating information in a direct and palatable way to numerous users at once. This study primarily focuses on users using the Chatbot system with the WhatsApp app. Python is used to programme this chatbot system. The user needs to join with Twilio using join and the sandbox …
Published in Journal of Operating Systems Development & Trends · Vol. 9, Issue 3, 2022 · pp. 28–34 Read article
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Identifying a Unique Color Using Image Processing
Abstract: This work describes a method for detecting colors in a three-dimensional image utilizing a color threshold-holding technique implemented in Python and to detect user selected color in an image RGB color module is used. Conversion of three-dimensional RGB picture format to BGR image format is one of the methods used to identify color in data. Since we are using Python, it should be converted to BGR image format. Detecting connected …
Published in Recent Trends in Programming languages · Vol. 8, Issue 2, 2021 · pp. 17–22 Read article
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Programming Languages for Robotics: A Comprehensive Review of Applications, Features, and System Integration
Abstract: The rapid advancement of industrial automation, artificial intelligence, and autonomous systems has increased the importance of effective programming approaches for modern robotic applications. Robot programming languages provide the computational foundation for controlling robotic motion, interacting with sensors and actuators, implementing autonomous operations, and developing simulation-based solutions. This paper presents a comparative review of major programming languages used in robotics, with particular emphasis on C/C++, Python, Java, C#/.NET, and MATLAB. The …
Published in Recent Trends in Programming languages · Vol. 13, Issue 2, 2026 · pp. 51–62 Read article
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Facial Biometrics Driven Attendance Automation Solution Using LBPH Algorithm
Abstract: In today's educational landscape, managing attendance remains a central administrative task, often conducted manually on paper, consuming valuable time for educators. This project proposes a solution utilizing facial recognition technology to streamline the attendance process, thereby saving time and maintaining accurate student records. The objective is to develop an automated attendance system that is minimally intrusive, cost-effective, and highly efficient, leveraging computer vision techniques and algorithms like local binary patterns …
Published in Journal of Open Source Developments · Vol. 11, Issue 1, 2024 · pp. 27–35 Read article
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Visual Recognition with Convolutional Neural Networks for Object Detection
Abstract: Various research and development have taken place over the years on computer vision which is a branch of AI. AI disciplines like a vision system is applied in various fields like self-driving cars, face detection by social media apps and law enforcement software’s google lens and so on. The proposed system deals with design and implementation of an efficient way of training a GPU using python libraries to process and …
Published in Trends in Opto-electro & Optical Communication · Vol. 14, Issue 2, 2024 · pp. 07–13 Read article
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Real-time DDoS Attack Prediction in SDN Environments Using Machine Learning
Abstract: The ever-growing reliance on sdn-based services necessitates robust security measures against Distributed Denial-of-Service (DDoS) attacks that threaten service availability. This project investigates the development of a real-time prediction system for DDoS attacks in sdn environments, leveraging the power of machine learning. The proposed system employs a Decision Tree classification algorithm implemented in Python. To ensure accurate attack identification, the system meticulously addresses data preprocessing challenges inherent in network traffic datasets. …
Published in Journal Of Network security · Vol. 13, Issue 1, 2025 · pp. 16–27 Read article
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3d Hand Interaction in Virtual Space
Abstract: In the realm of augmented reality (AR) and virtual reality (VR), it is necessary to facilitate users' interplay with the digital world. In virtual environments, the system will be able to track the user's hand movements in three dimensions, providing the impression that they are essentially there. The system will adopt a camera component for input, a Python library called Open-CV for real-time video streaming, and a media-pipe library to …
Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 1, 2025 · pp. 13–19 Read article
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Fertile Data: Advanced Strategies for Crop Optimization Through Machine Learning Processing
Abstract: The venture, titled "FertileData: Advanced Strategies for Crop Optimization Through Machine Learning processing" is created utilizing HTML, CSS, and JavaScript for the front conclusion, and Python for the back conclusion. In a nation like India, where a noteworthy parcel of the populace depends on agribusiness for their vocation, joining progressed advances such as Machine Learning and Profound Learning into cultivating hones can revolutionize the industry. This venture presents a user-friendly …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 14, Issue 2, 2025 · pp. 25–35 Read article
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Tank Water Quality Analysis Using Machine Learning
Abstract: Tank Water quality is a critical factor for public health, agriculture, as well as industry. Continuous monitoring of tank water quality: temperature, humidity, water level, CO2 concentration, and pH, is vital for safe usage. Using machine learning, real-time data analysis can detect anomalies, predict issues, and optimize water management, ensuring timely responses and improved safety. This intelligent approach enhances decision-making and maintains water quality effectively in various environments.We develop an …
Published in Journal of Control & Instrumentation · Vol. 16, Issue 2, 2025 · pp. 27–34 Read article
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Fertiledata: Advanced Strategies For Crop Optimization Through Machine Learning Processing
Abstract: The venture, titled "Fertile Data: Advanced Strategies for Crop Optimization Through Machine Learning processing" is created utilizing HTML, CSS, and JavaScript for the front conclusion, and Python for the back conclusion. In a nation like India, where a noteworthy parcel of the populace depends on agribusiness for their vocation, joining progressed advances such as Machine Learning and Profound Learning into cultivating hones can revolutionize the industry. This venture presents a …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 2, 2025 · pp. 25–35 Read article