Daily Archives: November 17, 2025

Authors: G Vishal, G K Sharath Kumar, Karthik N Ganiga,, Sanjay Kumar, Prof. Merlin B

Abstract: An important factor in a nation's economic development is the agricultural sector. In particular, it provides millions of people in rural India with a vital source of income. One of the major issues influencing the agriculture industry is plant disease. Diseases can infect plants for a variety of reasons, such as synthetic fertilizers, outdated methods, environmental factors, etc., which affect farm productivity and thereby hurt the economy. Researchers have looked into a variety of AI and machine learning-based applications to identify plant diseases in order to address this problem.

 

Published by: vikaspatanker

Authors: Akshat Parekh, Jemit Patel, Deep Upadhyay, Jay Shah

Abstract: The increasing number of abandoned animals underlines the necessity of reliable and transparent adoption systems. Existing adoption practices often rely on scattered sources such as social media, which lack consistency, verification, and accountability. This paper presents Adoptly, a mobile-first application designed to streamline pet adoption by ensur- ing secure authentication, verified listings, and seamless communication between adopters and shelters. Built using React Native (Expo) for cross- platform compatibility, Clerk for user authentication, and Firebase for real-time storage and database services, Adoptly integrates features such as verified pet profiles, favorites, adoption requests, story sharing, and an in-app chat system. Developed under an agile methodology, the system reduces misinformation, enhances trust, and improves adoption efficiency compared to unstructured methods. Early testing demonstrates reliabil- ity in authentication, smooth navigation, and real-time synchronization. The findings highlight the potential of mobile-first systems to revolu- tionize adoption processes by bridging gaps of communication, trust, and scalability.

Published by: vikaspatanker

Authors: Aaditya Deo, Shah Saurabh, Anurag Tiwari, Ishordev Chaudhary, Dr. Sneha Soni

Abstract: Traditional digital marketing frequently encounter high costs, authenticity gaps, and declining consumer trust. Simultaneously regular customers and small creators who organically promote products seldom receive benefits. This paper present a concise research version of the project “Social Media Monetization: A Modern Advertising System” which enable customers to earn cashback by promoting purchased product from partnered brands on Instagram. The system leverage user generated con- tent to provide brands with authentic, cost effective promotion while offering customers a transparent reward mechanism. We summarize the problem context, objectives, system methodology, modules, expected outcomes, and future directions strictly based on the original project report, and reserve space for illustrative figures aligning with the submitted work. Customer Based Advertising, Cashback Reward, Digital Marketing, Social Media Promotion, Instagram Marketing, Authenticity, Secure Payment Integration, Marketing Ana- lytics, User Engagement Tracking, AI Based Advertisement Optimization, Scalable Marketing Model.

Published by: vikaspatanker

Authors: Akshat Parekh, Jemit Patel, Deep Upadhyay, Jay Shah

Abstract: The increasing number of abandoned animals underlines the necessity of reliable and transparent adoption systems. Existing adoption practices often rely on scattered sources such as social media, which lack consistency, verification, and accountability. This paper presents Adoptly, a mobile-first application designed to streamline pet adoption by ensur- ing secure authentication, verified listings, and seamless communication between adopters and shelters. Built using React Native (Expo) for cross- platform compatibility, Clerk for user authentication, and Firebase for real-time storage and database services, Adoptly integrates features such as verified pet profiles, favorites, adoption requests, story sharing, and an in-app chat system. Developed under an agile methodology, the system reduces misinformation, enhances trust, and improves adoption efficiency compared to unstructured methods. Early testing demonstrates reliabil- ity in authentication, smooth navigation, and real-time synchronization. The findings highlight the potential of mobile-first systems to revolu- tionize adoption processes by bridging gaps of communication, trust, and scalability.

Published by: vikaspatanker