Volume 12 | Issue 6 |

 Abstract

The use of Non-Fungible Tokens (NFTs) in online markets can help solve several challenges related to buying and selling products online, especially luxury or high-end items. These challenges often revolve around concerns about authenticity. Digital warranties provided through NFTs can offer customers greater confidence while making purchases by providing information about the item's history, warranty, and other details. When a customer transacts using our application, the NFTs associated with the purchased item are sent to their account. Asset tokenization, where NFTs represent trading assets, can help combat the proliferation of fake goods. By implementing digital warranties, brands can better protect against counterfeit products. Consumers may be more inclined to choose authentic products if digital warranties become a standard practice in the industry, signaling that products without an NFT-backed guarantee are likely not genuine. Some merchants may request assurances from franchises of brands, allowing retailers to source certified imports from other countries even without the explicit consent of the brand. Brands can also collaborate to adopt digital warranty solutions and address counterfeiting issues in the industry. However, widespread adoption of this solution within the broader blockchain community is still lacking, and challenges persist despite the significant potential of NFTs, which are experiencing rapid growth in the marketplace

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 Keywords

NFT, Blockchain, Tokens, Warranty

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This paper explores the application of advanced Reinforcement Learning (RL) techniques in developing intelligent game-playing AI. By implementing Deep Q-Networks (DQN) and other Deep Reinforcement Learning (DRL) methods, this research aims to enhance AI proficiency across various gaming environments, including 2048, chess, and a simulated taxi driver scenario. We highlight key objectives, methodologies, and outcomes, while also addressing the challenges and proposing future directions in the field of RL for gaming AI.

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 Keywords

Reinforcement Learning, Q-learning, Deep Q-Networks, Game AI, Machine Learning.

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Abstract : The formulation and evaluation of herbal face cream aim to harness the therapeutic properties of natural ingredients for skincare. This study focuses on developing a face cream that combines the benefits of various herbal extract known for their antioxidant,anti-inflammatory and moisturizing properties.Ingredients such as Aloevera ,amla ,cucumber peel were selected for their well -documented skincare benefits. Aloe vera , amla , cucumber peel are medicinal plant they are used as traditionally from ancient year in various herbal medicines such Ayurveda, Siddha and Homoeopathic. Cosmetics and some medicinal products are made up from the mucilaginous tissue in the centre of aloe vera leaf and called aloe vera gel. Aloe vera gel contains no antraquinone. Which are responsible for the strong laxative affects of aloes. However ,total leaf extract may contain Antraquinone. Aloe vera contain active constituents like Vitamines, Enzymes, Minerals ,Sugars,Saponis,Amino acids .Amla contain Amino acid like glutamic acid , proline, ans Asparic acids , Protein, Minerals,etc. Cucumber peel are rich in fiber and contains minerals like magnesium, Potassium and silica. The silica is an essential components to keep your muscles,bones and tendons healthy. It also hydrates our skin, improves complexion and vision.

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 Keywords

Alovera, amla , cucumber peels , face cream , evaluation

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 Abstract

The creation of poly herbal formulations aimed at immune improvement is a result of the growing interest worldwide in natural products for improving immunity. Our goal in this study was to create and assess a poly herbal drink that would increase immunity by using extracts from specific medicinal herbs that have been shown to have immune-modulating qualities.

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 Keywords

Immunity booster, polyherbal, Immuni-modulatory, in-vivo, synergistic.

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- In this research, we present an innovative Accident Detection and Alert System that combines Deep Learning (DL) and Edge Computing technologies. The system is designed to process live video feeds from surveillance cameras using DL models to detect traffic accidents in real-time. By leveraging edge computing, the system performs data processing near the data source, which significantly reduces latency and enables faster response times. Upon detecting an accident, the system autonomously alerts emergency services, thereby improving the efficiency of rescue operations. This seamless integration of DL and edge computing enhances the accuracy and speed of accident detection, which is vital for reducing the severity of injuries and saving lives on the road.

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 Keywords

Edge Computing, Deep learning, CCTV, Video processing, CNN

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 Abstract

ABSTRACT The present investigation was carried out at Banana Research Station, Nanded. "Studies on plant geometry and levels of potassium on growth, yield and quality of banana (Musa acuminata L.)", for two trial years. In the present experiment, there were four main treatments of plant density, viz. D1 (1.5 m x 1.2 m), D2 (1.5 m x 1.5 m), D3 (1.5 m x 1.8 m) and D4 (1.5 m x 2.1 m), three sub- treatment of potassium levels, viz. K1 (100 g K2 O/plant), K2 (200 g K2O/plant), K3 (300 g K2O/plant) and thus comprising twelve treatment combinations. From the results obtained in the present investigation, it can be revealed that the vigorous vegetative growth in terms of plant height, were the highest in plants with plant density 1.5 m x 2.1 m followed by plant density 1.5 m x 1.8 m, while in case of different potassium levels the vegetative growth were the highest in plants with application of 300 g K2O/plant followed by 200 g K2O/plant. In interaction, the plant density 1.5 m x 2.1 m with combination of 300 g K2O/plant as well as 200 g K2O/plant showed the highest vegetative growth and number of leaves.

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banana, number of leaves, potassium, plant density

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This study explores the effect of relaxation exercises on secondary school students' mathematics examination accomplishment. A quasi-experimental design was employed, involving 40 students randomly in an experimental and control group. The experimental group participated in a structured program of relaxation exercises, including guided imagery, deep breathing, and progressive muscle relaxation, administered for 15 minutes daily for eight weeks. The control group continued with their regular mathematics curriculum without any additional interventions. Pre- and post-intervention assessments were conducted using standardized mathematics tests to measure the student's accomplishment in the subject. Results indicated a statistically significant improvement in the mathematical scores of students in the experimental group compared to those in the control group. Qualitative feedback from students suggested that the relaxation exercises reduced anxiety improved concentration, and enhanced performance. These findings suggest that relaxation techniques in the school routine can be a valuable strategy for improving students' academic outcomes in mathematics. Further research is recommended to explore relaxation exercises' long-term effects and potential applications across different subjects and educational contexts.

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 Keywords

Relaxation Exercises, Secondary Students, Mathematics, Accomplishment.

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 Abstract

As old as humanity, wounds are clinical entities that frequently cause issues in therapeutic practice. Naturally, there has always been an inquisitive curiosity to advance healing. It has been difficult to produce new therapeutic agents and stay up to date with the issues faced, despite the extensive study that has been planned to create better ones. The Ayurveda describes a number of medications with the ability to heal wounds, including those derived from plants, minerals, and animals. The majority of these medications come from plants. A few of these plants have undergone scientific screening in order to assess their capacity to heal wounds using various pharmacological models. In experimental models, it was discovered that a few Ayurvedic medicinal plants, including Lawsonia inermis, Boerhaavia diffusa, Argemone mexicana, Catharanthus roseas, Diospyros cardifolia, Eclipta alba, Ficus religiosa, Hypericum perforatum, and Swertia chirata, were useful. The contraction that starts a few days after damage and lasts for several weeks has a significant role in how quickly wounds heal. In this review, many features of wound healing are attempted to be understood in terms of wound closure %, time to complete epithelialization, tensile strength, histology, and weight of granuloma in various wound models.

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Wound Healing, Turmeric, Licorice, Aloe vera

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 Abstract

The construction industry has evolved to include diverse projects that enhance communities both aesthetically and functionally. Concrete remains the fundamental building material due to its strength, durability, and adaptability. Self-compacting concrete (SCC) can consolidate without external compaction, offering significant construction advantages. Fiber-reinforced concrete (FRC) improves structural integrity by incorporating fibres. This thesis examines the impact of fibre inclusion on SCC's flowability, workability, and compressive strength. The study formulates SCC blends without fibres and then introduces steel and glass fibres at varying concentrations. Flowability and workability are measured using slump and V-funnel tests, while compressive strength is assessed through compression tests. The methodology includes a literature review, SCC mix formulation, flow and strength testing, and result analysis. Findings show that fibre addition reduces slump values and increases T50 times, indicating decreased flowability and workability. Fiber-reinforced SCC demonstrates notable early-age strength development, with steel fibres showing superior strength gains compared to glass fibres. The 0.5% steel fibre SCC achieves the highest strength after 28 days of curing, highlighting the importance of optimizing fibre content. In conclusion, fibre-reinforced SCC enhances compressive strength and structural integrity, with fibre concentration playing a critical role in achieving desired characteristics. This research highlights the benefits of fibre reinforcement in SCC for diverse structural applications.

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 Keywords

Self-compacting concrete, Fiber reinforced concrete, Steel fibers, Glass fibers, Concrete slump test, V-funnel test, Compression test.

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 Abstract

The idea and features of a brand-new salon appointment booking app that aims to transform the salon business are presented in this abstract. With people depending more and more on technology in their daily lives, this app seeks to make salon appointment booking easier for both clients and salon owners. Customers can peruse a range of salons, services, and time slots using the app's user-friendly design, which is accessible on smartphones. Customers can easily schedule appointments, choose their favorite stylists, and even leave special messages or requests using the app. The software offers salon operators a complete administration system for effectively scheduling workers, appointments, and services. The app also provides analytics capabilities to manage inventory, monitor booking trends, and enhance business operations. Important features include automated appointment reminders, safe payment methods, real-time availability updates, and a rating system that allows stylists and clients to leave comments. This software seeks to improve the whole salon experience, boost productivity, and spur business growth in the dynamic beauty industry by bridging the gap between clients and salon owners.

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 Keywords

Flutter, Google Firebase, Salon, Mobile-based, Management system

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Creative Commons Attribution 4.0 and The Open Definition