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AI-Assisted Web-Based Electricity Consumption Tracking and Predictive…
AI-Assisted Web-Based Electricity Consumption Tracking and Predictive Analytics System
Frontend React.js
Backend API Flask (Python)
Database Firebase Firestore
Authentication Firebase Auth
AI (Prediction) Scikit-learn
Features
Appliance Consumption Calculator:
Predictive Machine Learning Module
Electricity Usage Monitoring Dashboard
Manual Bill Logger
Intelligent Recommendation System
User Data Storage
Research Area
Web Development
Data Analytics
Artificial Intelligence / Machine Learning
Energy Management Systems
Information Systems
Sustainable Development Goal
SDG 7 – Affordable and Clean Energy
SDG 12 – Responsible Consumption and Production
SDG 13 – Climate Action
SDG 9 – Industry, Innovation, and Infrastructure
Proposed Solution
Cloud-Based Data Storage
Manual Billing Record Management
ML-Powered Predictive Bill Analytics
Appliance-Based Consumption Estimation
Interactive Electricity Usage Dashboard
Rule-Based Energy Saving Recommendations
Problem Statement
Lack of Centralized Billing History
Lack of Appliance-Level Insight
Unpredictable Bill Fluctuations
Ineffective Energy Saving
Target Users
Tertiary: Eco-Conscious Individuals
Secondary: Small Business Owners (SMEs)
Primary: Residential Homeowners / Renters
Agile
Iteration 4: Refinement & Final Integration
Iteration 3: AI & Predictive Analytics
Iteration 2: Calculation & Visualization
Iteration 1: Foundational Web App