Volume 12 | Issue 12 |

 Abstract

This intelligent resume analysis system harnesses large language models (LLMs) such as Gemini and GPTs to revolutionize the undergraduate (UG) recruitment process. By accommodating diverse resume formats like PDF and DOCX, the system employs natural language processing (NLP) and regular expressions for effective data extraction and categorization. Beyond conventional parsing techniques, it integrates LLM-driven assessments to evaluate and verify the skills mentioned in resumes, automating technical evaluations for a more comprehensive candidate analysis. Additionally, the project investigates the feasibility of leveraging AI for technical interviews, examining the potential advantages, challenges, and ethical implications to ensure a fair and unbiased recruitment process.

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 Keywords

Large Language Models (LLMs) Natural Language Processing (NLP) Recruitment Automation Skill Assessment Bias Mitigation Ethical AI in Hiring

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

There is no one approach that appears to anticipate stock price both precisely and long-term at the same time, despite years of research on the subject by academics and financial experts. This is brought on by the unpredictable pattern of stock movement and numerous factors that affect market performance. The real-time stock market prediction uses real-time market data to forecast stock price movements and provide buy/sell signals to investors, lowering risk of loss while boosting profit. To anticipate the stock price, the proposed paper employs an ensemble of approaches, including the Rainbow Deep Q Network, Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU), and Moving Average Convergence Divergence (MACD).

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 Keywords

Real-time stock, LSTM, GRU, MACD

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Creative Commons Attribution 4.0 and The Open Definition

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Green hydrogen, produced through electrolysis powered by renewable energy sources such as wind, solar, and hydropower, is emerging as a promising solution to the world's energy and climate challenges. This report explores the potential of green hydrogen to address global energy issues, reduce carbon emissions, and facilitate the transition to a low-carbon economy. It highlights the environmental impact of green hydrogen, focusing on its ability to promote sustainability, mitigate climate change, and reduce pollution in the future.

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 Keywords

Green Hydrogen, Global energy issues, Sustainability, Climate challenges.

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Creative Commons Attribution 4.0 and The Open Definition

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Rajasthan, India's largest state, faces significant water scarcity due to arid climate conditions, overexploitation of resources, and inadequate water management practices. This review consolidates findings from multiple studies to provide a comprehensive understanding of water resource management and conservation techniques employed across Rajasthan. It highlights both traditional and modern practices, addresses challenges related to groundwater, examines the impacts of climate change, and considers gender perspectives. The review underscores the necessity for integrated strategies to sustainably tackle water scarcity. It emphasizes the importance of leveraging indigenous knowledge, implementing institutional reforms, and advancing technology to promote water security and ecological balance.

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Keywords: water scarcity, water resource management, conservation techniques, climate change, indigenous knowledge.

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Creative Commons Attribution 4.0 and The Open Definition

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Hair is one of the beauty of human life. Herbal hair oil is a natural product that helps in growth, health, smooth, shiny etc of hair. A lot of Herbal is being used for the care of hair such as almond, coconut, amla, onion, hibiscus, jasmine, aloe vera etc. herbal hair oil as nowadays tribal hair oil that is being used a natural product. Therefore, we are broadcast through this review paper that has very little physical effect compared to chemical products. Herbal hair oil, which we can use in Ayurvedic methods or with home remedies we can make our life useful. Herbal products are not only useful for hair but also for more space, such as herbal medicine. Hair is very essential for our life, because it helps in not only beauty but also in body maintaining

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Creative Commons Attribution 4.0 and The Open Definition

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Hair is one of the beauty of human life. Herbal hair oil is a natural product that helps in growth, health, smooth, shiny etc of hair. A lot of Herbal is being used for the care of hair such as almond, coconut, amla, onion, hibiscus, jasmine, aloe vera etc. herbal hair oil as nowadays tribal hair oil that is being used a natural product. Therefore, we are broadcast through this review paper that has very little physical effect compared to chemical products. Herbal hair oil, which we can use in A

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The essential idea behind financial inclusion is that each citizen should open a minimum of one account with any bank and that many low-income and underprivileged groups should be able to access banking services at rational costs to the vast sections. The great bulk of the nation's financial excluders are tribal people. Tribal communities predominantly benefit from this kind of access since it offers those chances to build savings, make investments, deposit, loan, bank overdraft facilities, and awareness. To investigate the banks' offerings for financial inclusion and their knowledge of the government policy's selection of a sample of tribal village residents. The confidence on non-banking channels for money remittance is declining as an outcome of financial inclusion. The objective of this paper is to examine the Satisfaction Level of the Tribal People about the various services offered by Selected Banks: A Study in Erode District of Tamil Nadu. On the basis of the Findings of the study, various suggestions are being offered to increase the Satisfaction Level of the Banks.

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 Keywords

Banking Services, Financial products, Financial Inclusion

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Creative Commons Attribution 4.0 and The Open Definition

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One of the most significant crops is basil (Ocimum basilicum), which also contains polyphenols, phenolics, flavonoids, and phenolic acids in addition to essential oils. This annual plant is native to tropical areas and is a member of the mint family. In addition to its many medicinal uses, basil leaves are frequently added to rice, pork, stews, and soups. It has historically been used to treat renal issues, earaches, irregular menstruation, arthritis, anorexia, colds, malaria, and as a hemotypic during childbirth. It has been demonstrated that basil helps fight off bacterial, fungal, viral, and other infections. Asthma, bronchitis, influenza, fevers, coughing, and diarrhea have all been treated using basil leaves. Basil seed gum is another name for basil seed mucilage. Mucilage from basil seeds is a hydrocolloid that thickens, stabilizes, replaces fat, texurizes, is surface-active, and emulsifies. The most significant pharmacological applications of basil include its anti-cancer, anti-microbial, anti-inflammatory, immunomodulatory, anti-stress, anti-diabetic, anti-pyretic, anti-arthritic, and anti-oxidant properties, as well as its use as a preventative measure and in the treatment of cardiovascular disease. Sweet basil, often known as Genovese basil, is a common culinary spice used in Mediterranean and Italian cuisine. Iron, calcium, vitamin K, vitamin A, and vitamin C are among the minerals and vitamins it contains. Many food and beverage sectors use the aromatic sweet basil leaf directly as a flavoring ingredient. It is also widely used in the cosmetics, fragrance, and pharmaceutical industries.

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Basil; health benefits, chemical composition, antioxidant property

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Creative Commons Attribution 4.0 and The Open Definition

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The increasing prevalence of retinal diseases such as Cataract, Diabetic Retinopathy, and Glaucoma necessitates accurate and efficient diagnostic tools for early detection and treatment. This study employs a deep learning-based approach using EfficientNet-B3 for multi-class classification of retinal images. Leveraging a diverse dataset comprising approximately 1,000 images per class, the model achieves an overall accuracy of 96%. Performance metrics such as precision, recall, and F1-score demonstrate robust classification capabilities, with Diabetic Retinopathy achieving perfect classification metrics. While minor misclassifications are observed in Glaucoma and Cataract classes, the model shows significant promise in assisting medical professionals with automated diagnostics. Future improvements include addressing misclassification challenges, expanding dataset diversity, and integrating the model into clinical workflows for real-time detection and decision support. This approach highlights the potential of deep learning models in enhancing ophthalmic care and preventing vision impairment worldwide

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 Keywords

Cataract, Diabetic Retinopathy, Glaucoma, Medical Imagining, Artificial Intelligence, Convolutional Neural Network

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Creative Commons Attribution 4.0 and The Open Definition

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The present study aims to assess the Library services with user satisfaction in central library of L.N.M.U. Darbhanga. The investigator has distributed 100 questionnaires to the users, like teachers, research scholars and students. The findings of the study shows that, 85 (85 %) respondents visited university library for reading and thinking purposes. 61% visited read new journals and magazines.

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Library services, User satisfaction, University.

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Creative Commons Attribution 4.0 and The Open Definition

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The microarray method is used to investigate the transcriptomic formation of a tumor and the transcriptome does not tell biology because of transcription and translational post-modifications, alternative splicing, and the effects of pathological conditions. Due to this reason fusing more than one source of genome-wide data like, transcriptome, proteome, epigenome, and genome become important. A diagnostic approach includes information about the transcriptional status of all genes across multiple tissue types in cancer diagnosis. It is identified that two p53-regulated long non-coding RNAs (lncRNAs) are required for the effective binding of p53 with some of its target genes. There are 18 high-confidence lncRNAs that are transcriptional targets and they are all identified with the help of p53 ChIP-sequence analysis. It is also demonstrated that expression of p53-lncRNAs is lower in colorectal cancer samples having a tumor suppressor with very high diagnostic power. Multi-omics sequence is becoming the clinical routine and transformation of precision oncology and it is also low-cost. Transparent and interpretable computational methods have been proposed which are called integral genomic signature analysis. With the help of a genomic dataset of chemical disruption, a battery of integral genomic signature analysis (iGenSig) models for the prediction of cancer drug response was developed. iGenSig gives a computational framework for the facilitation to adapt cancer therapy based upon multi-omics data. Understanding cancer requires the discovery of cancer driver mutations that confer a proliferative advantage; however, due to the difficulty of modeling the somatic mutation rates seen across tumor genomes, searches have frequently been restricted to protein-coding sequences and particular noncoding elements (for example, promoters).

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Microarray, iGenSig, lncRNAs, Kernel Approach, p53 genes, LS-SVM, SVM, Tumor

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Creative Commons Attribution 4.0 and The Open Definition