Projects section
Explore our curated selection of innovative AI projects, each designed to solve unique challenges with creativity and precision. From intelligent data solutions and smart web applications to AI-powered design tools and strategic consulting, every project showcases our commitment to transforming ideas into impactful results.
Anime Fandom Trends on Reddit
This project conducts an in-depth analysis of anime subreddit trends using time-series analysis, NLP techniques, machine learning models, and cloud platforms like AWS and Azure. It explores user engagement, sentiment, controversiality, and predictive patterns, uncovering factors influencing spikes in interest, content popularity, and franchise performance. With scalable cloud computing resources, the analysis processes large datasets efficiently, revealing valuable insights into discussion patterns, theme categorization, and correlations with external events.
Smart Note AI
An advanced class note-taking tool powered by a fine-tuned LLM from Hugging Face. It integrates voice-to-text transcription, grammar correction, adjustable recording time, re-listening capabilities, subtitle display, and concise key point summaries. This comprehensive tool ensures clarity, accuracy, and enhanced productivity for academic and professional note-taking needs.
Coastal Water Level Forecasting with AI and ML
This project leverages time-series analysis (SARIMA), machine learning (Random Forest, Gradient Boosting Machine), and deep learning (LSTM) to forecast coastal water levels along California's coastline, providing both short-term (24 hours) and long-term (2050, 2100, 2200) predictions. By integrating accurate forecasting with sustainable AI practices using CodeCarbon, the project supports emergency preparedness and long-term coastal resilience planning.
Inadequate Grocery Store Access in the U.S.
This project investigates the geographic and demographic factors contributing to inadequate grocery store access across the United States, highlighting regions and populations disproportionately affected. Using data from the USDA Food Environment Atlas, the analysis uncovers patterns of food deserts, explores the impact on Native American and Hawaiian populations, and examines declining participation in the WIC food assistance program. The findings aim to guide policymakers in addressing food insecurity by identifying key areas for intervention and further research.
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