Partners Universal International Research Journal

Micro-Pricing and Instant Gratification Effects on Unorganized Service Market Transformation

2025-09-25T13:25:29+00:00

The household services industry in India is massive we are talking about a ₹50,000 crore market that's pretty much running without any real structure or organization. It is actually one of the biggest unorganized sectors globally, and anyone who is tried hiring help knows the struggle you never know if someone will show up, the quality is hit or miss, and there is basically no professional framework to speak of. This is where Snabbit comes into the picture. Started in 2024 by Aayush Agarwal, who previously worked at Zepto, this Mumbai startup has completely shaken things up. What is remarkable is how quickly they have moved in just their first year, they have managed to secure $24.5 million through two separate funding rounds. That makes them the second Indian startup to pull off something like this in 2025. Their approach is pretty radical when you think about it. They are offering rock bottom prices to get people hooked, promising to get someone to your door in 15 minutes flat, and actually organizing workers in a way that makes sense. They have taken what was essentially a chaotic, informal marketplace and turned it into something that runs like clockwork through their tech platform. Looking at how Snabbit operates gives us some fascinating insights into how entrepreneurs can tackle these messy, unorganized industries. They have figured out that if you price things just right even if it means taking a hit initially and deliver services instantly, people will flock to you. Once you've got them, you can build something that competitors will struggle to match. What Snabbit has proven is that even the most traditional, set-in-their-ways industries can be completely reimagined. By smartly using technology, consistently improving service quality, and putting customers first with their pricing, they have created a playbook that could work across many developing markets facing similar challenges.

Academic and Professional Roadmap for Quantum Computing Career Development in High-Demand Technology Markets

2025-09-25T13:28:15+00:00

The quantum computing revolution is creating unprecedented career opportunities that remain largely unknown to 99% of the global workforce. This is the financial reward to an extraordinary level, with an entry level position costing between ₹40-₹60 lakh in India and as much as 170-200 thousands USD per annum in foreign countries but top-level positions are compensated at a much higher rate. Quantum computing is a one-of-a-kind example of a convergence of scarcity and demand within various industries such as technology, finance, healthcare, and cybersecurity, unlike the traditional career in computing which has been overtaken by saturation. This is a complete review of the strategic directions of pursuing quantum computing careers, starting at secondary level up to practice. The major needs a trans-disciplinary basis of high-level physics, mathematics, and computer science and it can only be achieved through careful planning of academics and special training in skills. Today, it is projected that millions of jobs will be created in the market by 2030, but the talent pipeline continues to be grossly underperforming. There are some major educational facilities, both locally and abroad, that equip the best preparation to quantum computing professions, which the study identifies. Its applications in industry include the acceleration of drug discovery, financial risk modelling, portfolio optimization and next-generation cyber security protocols. Technology giants such as Google Quantum AI, Microsoft, IBM, and upcoming specialized quantum companies, and government-based research organizations across the globe are major employers. As a career opportunity, quantum computing presents an exciting life opportunity to students who have an excellent mathematical and physical ability to work in an industry that is both intellectually stimulating and has a high monetary reward and an opportunity to impact the world.

An Exploratory Study of Friendship Marriage and Its Role in Redefining Partnership for Economic Security and Personal Autonomy in Modern Society

2025-09-25T13:30:28+00:00

The present paper will explore the new trend of friendship marriage, which is a model of contractual partnership, where partners become legally married out of practical reasons instead of love. We discuss the way this arrangement responds to the current situation in relationships, economic considerations, and changing social frameworks and how it obviates the housing expenses, tax efficiency, and social assistance without undoing the individual autonomy. The paper shows the role of friendship marriages as a practical way of dealing with economic strain and shifting concepts of companionship, especially among well-to-do young adults in search of alternative avenues of stability and security. Based on sociological studies, the economic evidence, and legal cases, this exploration proves how friendship marriages disrupt the conventional ideas of matrimony and provide new approaches to address contemporary lifestyle and financial issues. The study shows that such arrangements offer significant economic gains such as tax savings, property ownership, and cost-sharing of living, and individual freedom of romantic activities. Nevertheless, considerable obstacles still exist in the form of housing needs, acceptance in the family, and legal problems that might occur. With the increasing economic stress, and the constantly changing social attitudes, the friendship marriage is likely to grow more popular among educated members of the professional society in search of security without the conventional romantic considerations, thus the legal regulations and social policies concerning recognition of partnerships might change accordingly.

Artificial Intelligence Transformation of Digital Interaction Platforms and Economic Opportunity Structures

2025-09-25T13:32:34+00:00

The fifteen-year reign of mobile applications as the dominant interface for digital services faces an unprecedented challenge. What began as a clear hierarchy of specialized platforms LinkedIn for professional networking, Uber for transportation, Tinder for social connections now confronts a fundamental restructuring driven by artificial intelligence capabilities that transcend traditional app boundaries. This comprehensive examination analyzes the emerging transition from app-centric to AI-centric digital ecosystems, investigating how companies like OpenAI are moving beyond supplementary chatbot features to establish core platforms that directly compete with established market leaders. Through detailed analysis of recent developments, including OpenAI's Jobs Platform launch in September 2025, AI-powered search interfaces, and the systematic integration of artificial intelligence into existing applications, this research explores whether current trends represent a genuine paradigm shift or another cyclical market enthusiasm driven by investment speculation. The data speaks to the present AI revolution resolving basic user friction points and producing quantifiable utility gains, in contrast to earlier tech hype cycles. If AI-first platforms can't give value beyond novelty, especially as traditional app providers change how they integrate AI, then this shift won't work.

Humanize AI Tool: An Aid or Challenge for Education Industry

2025-09-25T13:35:16+00:00

In the milieu, when AI turns as a pervasive technology touching every horizon of human life, untap its potential in making thriving revolutions in the field of education, pedagogy, andragogy, research and other areas of content creation is crucial to foster improved learning and innovation in the respective aforesaid field. Today almost every academicians, student, freelancer, content creator, blogger, columnist, copywriter, social media marketer, digital professionals, UI designers and all the other members of slack community uses one or more AI-based tools, to ease our day to day operations. Especially if we talked about the field of academics and research, the application of AI is common, but the issue of plagiarism is a big concern. To save much of our research time and to avoid the plagiarism problem detected by online AI plagiarism detectors, many people utilizes its bypassing technology such as Humanize AI or online paraphrasing tools.

In this research paper, the entire focus is on the revolution & challenges brought by AI and Humanize AI in the field of education, research, academics, and content creation. For the purpose of our research study, we collected primary data from 247 respondents in Uttar Pradesh. The paper has presented the findings, suggestions as well as the conclusion, which will become a ground for the future researchers to use upon. The research paper tries to clarify both the aid and challenging side of the Humanize AI presenting fact-driven balanced approach. So that, readers as well as future researchers can make a clear opinion about this respective AI technologies and concentrate on extending future contribution of study in this area and its inter-related field.

A Comparative Study of Image Enhancement Methods: A Literature Review

2025-09-25T13:38:31+00:00

Image enhancement in computer vision and image processing problems is routinely used to improve performance by sharpening the image content, increasing contrast or rectifying aesthetic failures. The current paper examines some common techniques used, including black balance correction, dehazing, sharpening, histogram equalization, and CLAHE (Contrast Limited Adaptive Histogram Equalization) considering their applicability in both underwater and medical imagery. The comparison discussion entraps the main literature, using the standard measures like: Peak Signal-to-Noise Ratio (PSNR) and Structural Similarity Index (SSIM). Also, the white balance always ranks the best, providing the 54.8672 dB and SSIM value 0.9991, which significantly underlines the ability to maintain structural integrity and color true-to-life. New real-time-potential deep-learning models, e.g. U-Net, require significant computational power, though. The review was summarized by stating the advantages and drawbacks of each of the methods and concluding on the worthiness of the hybrid designs that integrate multiple methods, the need to adhere to the requirements in the specific domains and how AI features are becoming increasingly important in shaping versatility and automation. Future work must thus be directed to real-time and adaptive enhancement architecture so as to meet the requirements of underwater robotics, medical imaging, and autonomous navigation.

Unbiased Estimator of Population Geometric Mean

2025-09-25T13:41:28+00:00

In this study, attempt has been made on finding unbiased estimator of geometric mean of a population from random sample drawn from it. Description of the estimator along with numerical example has been presented in this article.