Anshul Sadh-Gauri - Living in harmony
This research focuses on designing and implementing a semi-automated system to detect deforestation in the Amazon rainforest using advanced deep learning techniques. The project leverages neural networks to analyze satellite imagery, comparing images of the same geographic location across consecutive years. Through change detection methodologies, the system identifies new areas of forest loss, providing a faster, scalable solution to support conservation efforts.
The development of automated deforestation monitoring systems is critical for enabling timely interventions by conservationists and policymakers, helping to target high-priority areas effectively. Additionally, this research explores the application of Fourier transform techniques to enhance model accuracy, potentially setting a new standard for change detection in large-scale, unstructured datasets.
This project exemplifies my commitment to applying machine learning and AI to address urgent global challenges. By contributing to sustainable forest management and conservation, this work represents a meaningful step toward leveraging technology for environmental preservation.
Many studies have examined the effect of meditation sessions led by experienced teachers on personal benefits for adults. The present study investigated the effect of broad-based mindfulness practices with an adolescent peer facilitator on prosocial outcomes in addition to individual gains. The study participants were classified into a nonintervention group that received no treatment and an intervention group that joined a meditation club at a large public high school where they received instruction on breath meditation, compassion meditation, and loving–kindness meditation.
Wilcoxon rank-sum tests indicated statistically significant increases in pre–post difference scores for Well-Being, Empathy, Compassion, and Prosocial Peer Attitudes and Behaviors in the intervention group compared to the nonintervention group. No differences were found for Mindful Awareness, Social Connectedness, and Affect. Approximately 68% of the variance in Compassion was accounted for by Well-Being and absence of COVID-19 exposure. After 10 weeks, participants self-reported that they definitively (60%) or likely (40%) benefited from the intervention. Peer-run mindfulness clubs in schools represent a promising strategy for adolescents to manage personal well-being and become agents for enhancing peer relations and school culture through the cultivation of empathy and compassion.
PsycInfo Database Record (c) 2024 APA, all rights reserved.
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Decibel Level, Genre, and Speechiness emerged as key factors affecting song popularity. Higher decibel levels were linked to greater popularity, and incorporating speech elements also boosted appeal. The study highlighted shifting trends in song traits, with stable BPM but changing song length and decibel levels over time.
These insights have important implications for modern musicians aiming to create popular music.
The Fitness Tracker motivates users by providing interactive graphs depicting time spent and calorie consumption trends based on activity details.
The application seamlessly combines HTML, JavaScript, CSS, and a RESTful API to enable easy fitness tracking. With CRUD operations, real-time updates, and interactive graphs, it offers a comprehensive exercise monitoring experience. Built on PostgreSQL and integrated with tools like pgadmin4, it ensures reliable data storage and retrieval, making it a trustworthy fitness companion.
Designed for intuitive play, the Scrabble Game lets players interact effortlessly with the board, placing tiles strategically to earn points. The scoring is precise, and real-time updates foster dynamic engagement.
The project seamlessly blends client-side components with a robust server setup, creating a compelling user experience for the iconic word game. It employs HTML, JavaScript, CSS for the front end and a structured RESTful API for the back end, delivering a user-friendly interface aligned with the game’s rules.
The app has two versions – Basic and Advanced. The Basic version allows users to easily find kidney-friendly foods through interactive filters. It empowers CKD and ESRD patients to create a well-balanced diet by identifying foods that are either low or high in nutrients that are particularly problematic for kidney disease.
The Advanced version tracks daily food intake and provides a gap analysis of recommended values vs. consumption levels using data visualization and interactive analysis.
