Intelligent Eco Habit Monitoring and Sustainability Recommendation System using Natural Language Processing
P. Bindhu Priya1, K. Shreya2, D. Prudhvi3 , B. Sai Vardhan4 , L. Bhanu Prasad5
1Assisstant Professor, Computer Science And Engineering, Sanketika Vidya Parishad Engineering College, Visakhapatnam, Andhra Pradesh, India
2,3,4,5th B.Tech Final Semester, Bachelor of Technology, Computer Science And Engineering, Sanketika Vidya Parishad Engineering College, Visakhapatnam, Andhra Pradesh, India
Abstract - The increasing environmental challenges such as climate change, excessive waste generation, and high carbon emissions highlight the urgent need for sustainable lifestyle practices. However, many individuals lack awareness and personalized guidance to adopt eco-friendly habits effectively.
The proposed project, Intelligent Eco Habit Monitoring and Sustainability Recommendation System using Natural Language Processing, aims to address this issue by developing a smart and interactive platform that monitors user activities and provides personalized sustainability recommendations. This system leverages Natural Language Processing techniques to analyze user inputs, daily activity logs, and textual feedback related to energy consumption, transportation, waste management, and resource usage. The proposed solution integrates with NLP models to enhance recommendation accuracy and adaptability over time. A user-friendly web interface is developed to allow users to input their activities, track sustainability scores, and receive actionable suggestions. The system not only promotes environmental awareness but also empowers individuals to make informed decisions that contribute to long-term ecological balance.
Key Words: Natural Language Processing (NLP), Sustainability, Eco Habit Monitoring, Carbon Footprint Estimation, Environmental Awareness, Sustainability Recommendation System, Text Classification, Smart Web Application, Green Lifestyle, Sustainable Development Goals (SDGs), Energy Consumption Analysis, Waste Management Tracking.
