| E-CERTIFICATES ISSUE SERVICES USING BLOCKCHAIN
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E-Certificates Issue Services using Blockchain is an application that is made for students and faculty of a particular college. The process of giving away and collecting certificates is made easy through a digital platform. This ensures that students need not go to the college to collect their certificates and recommendation letters. Blockchain is used in this application to ensure the safety and tamper-free environment as the certificates are a sensitive matter. The use of digital software has widely increasing in today’s world. Many things that can be done manually is also being done in a digital way. Although, up to a while ago some things were done manually as it was more preferred, the pandemic halted these activities. The need of the hour is digital solutions for almost everything that was manually done earlier. With the increase in technology, the attacks on applications are also widely increased. Attackers are trying to hack websites to modify content. Especially in the case of certificates a proper security measure is of at most importance. Blockchain technology is being introduced to make these attacks impossible.
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1 Year
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Self Funded
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NA
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| Traffic Sign Detection and Voice Alert
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The Traffic Sign Detection and Voice Alert is an intelligent system designed to improve road safety by detecting traffic signs andproviding voice alerts to the driver. The project is based on computer vision and machine learning techniques, and it uses a camera to capture real-time images of the road and traffic signs. The system analyzes the images to detect traffic signs, such as speed limit signs, stop signs, and no entry signs, using deep learning algorithms. Once a traffic sign is detected, the system provides a voice alert to the driver, informing them of the sign's message. The system has several advantages over traditional traffic sign detection systems. Firstly, it is more accurate and reliable due to the use of deep learning algorithms. Secondly, it provides real-time alerts to the driver, which helps them to stay focused on the road and avoid accidents. Finally, it is cost-effective and can be easily installed in any vehicle. Overall, the Traffic Sign Detection and Voice Alert Project is an innovative solution to improve road safety and reduce the number of accidents caused by driver error.
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1 Year
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Self Funded
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NA
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| Visualization and Analysis of Text Using NLP
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Various tools for text mining and visualization are readily available in the market, empowering creative individuals to uncover valuable insights related to emerging technology. With the ever-increasing volume of data generated each year, there is a growing need to synthesize and extract knowledge from an expanding pool of literature. Time holds greater importance than money in the corporate world, making it a challenge to grasp the nature, purpose, and significance of the data. This research paper presents a case study that employs computational techniques like Natural Language Processing (NLP) for text analytics and data visualization. Often, this data exists in an unstructured text format, falling into the realm of big data, which requires analysis to extract meaningful information. The project utilizes Python libraries to process a vast amount of text and offers graphical visualizations along with text analysis operations such as Word Cloud, Mendenhall Curve, Tokenization, Graph, Processed Text, and Named Entity Recognition (NER). The study demonstrates the effectiveness of NLP-based text analytics in comprehending the data. The paper aims to optimize time and effort by providing a comprehensive assessment of the data and enabling data-driven decision-making. This approach allows users to simultaneously understand the data and improve grammar, which can be beneficial for meetings, analysts, teachers, and employees alike.
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1 Year
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Self Funded
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NA
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| Algorithm based Automatic Trading System
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Automatic trading, also known as algorithmic trading, represents the pinnacle of technological advancement in financial markets. Through the utilization of sophisticated algorithms, automatic trading systems execute trades with unparalleled speed and efficiency, operating 24/7 across global markets. These systems remove the human element from decision-making, eliminating emotional biases and executing trades based solely on pre-defined rules and criteria. By leveraging historical data, technical indicators, and statistical models, automatic trading systems can identify and capitalize on market opportunities that may be imperceptible to human traders. However, with the potential for high- speed execution comes inherent risks, including technical glitches, data inaccuracies, and susceptibility to unforeseen market events. Consequently, successful implementation of automatic trading requires meticulous development, rigorous testing, and ongoing monitoring to ensure optimal performance and risk management. Despite these challenges, automatic trading continues to revolutionize the financial landscape, offering both institutional and retail investors unprecedented access to sophisticated trading strategies and opportunities.
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2 Year
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Self Funded
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NA
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| Raksha – The Women’s Safety Application
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Raksha is not merely a safety platform; it embodies a movement towards empowerment and equality. By leveraging the latest advancements in technology, Raksha pioneers a new era in women's safety, where access to assistance and support is just a tap away. Its user-friendly interface and innovative features redefine the way women perceive and navigate safety in their daily lives.
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2 Year
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Self Funded
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NA
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