Kunal Sharma

EcoGrid AI

Environmental Hacks/Oct 2026

EcoGrid AI is a dual-domain sustainability and resource intelligence platform designed for smart campuses, commercial facilities, and municipalities. Instead of managing waste collection and electricity usage as separate, uncoordinated problems, EcoGrid AI brings them together into a single, unified AI dashboard. It solves two major urban challenges: Inefficient, reactive waste management (overflowing bins, high contamination rates, and fuel-heavy truck routes). Invisible energy waste (unmonitored HVAC/lighting spikes and wasted rooftop solar generation). What Does the Platform Actually Do? Here are the 5 core pillars of the system: 1. Multi-Modal AI Waste Classifier What it does: Users or camera feeds upload a photo of discarded waste. How it works: Using computer vision (Amazon Bedrock / Vision models), it classifies items across 8 categories (PET/HDPE Plastics, Paper, Cardboard, Metals, Glass, Organics, General Waste, E-Waste). Key Feature: It shows confidence scores and flags contamination risks with clear instructions (e.g., "Rinse container, remove bottle cap, place in Blue Bin #B-12"). If confidence is low (<75%), it sends the item to a human-in-the-loop review queue to retrain the model. 2. IoT Smart Bin Fleet Monitoring What it does: Tracks waste bins across campus in real time. How it works: Monitors simulated IoT sensors (ultrasonic fill levels, internal temperatures, tilt, and battery status). Thresholds: Normal (0–70%): Standard monitoring. Warning (71–90%): Flagged for the upcoming shift. Full (91–100%): Immediate overflow alert that triggers collection. Interactive Tool: Includes an IoT simulator to test sudden spikes and automated alerts. 3. 2-Opt Dynamic Truck Route Optimization What it does: Replaces fixed, daily waste collection routes with on-demand, algorithmic route planning. How it works: Uses a 2-Opt Traveling Salesperson (TSP) algorithm that factors in bin urgency and vehicle payload limits (e.g., a 500 kg electric collection truck). Proven Impact: Cuts route distance by ~28% (e.g., from 17.2 km down to 12.4 km). Saves 24 minutes of driver shift time. Avoids diesel combustion and eliminates ~9.88 kg CO₂e emissions per cycle. 4. Energy Sub-Metering & Anomaly Diagnostics What it does: Monitors hourly building electricity consumption and identifies wasteful energy leaks. How it works: Compares real-time 24-hour load curves against historical baselines using a 3-Sigma / IQR statistical detector. Actionable Root Cause: If a sudden +42% spike occurs at 8:00 PM in Building B, the platform alerts the facility manager with the exact cause: "Building B Chiller Loop #2 was left running overnight past scheduled hours." Tariff Costing: Calculates rupee/dollar savings using Time-of-Day (Peak vs. Off-Peak) pricing. 5. Solar PV Advisory & Verified ESG Dashboard Load Shifting: Matches on-site rooftop solar generation with flexible loads (chiller pre-cooling, water pumps, EV fleet charging) between 11:00 AM and 2:30 PM to avoid peak grid charges. ESG Reporting: Summarizes carbon reduction, landfill diversion percentage (77%+), and equivalent metrics (e.g., trees planted, diesel fuel saved) for sustainability compliance.

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