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[Audio] Team Details ➔ Team name – TECH INNOVATORS ➔ Team leader name –SHREYAS TEJA S.M ➔ Problem Statement -AI FOR SUSTAINABLE URBAN DEVELOPMENT AND SMART CITIES.
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[Audio] Brief about the idea The proposed solution leverages Artificial Intelligence (AI), IoT, and Big Data analytics to transform traditional cities into sustainable smart cities. AI-powered Smart City Management Platform Integrates AI, IoT, and Big Data Analytics Optimizes energy, traffic, waste, and water systems Uses real-time data for predictive decision-making Supports sustainable and inclusive urban development By analyzing real-time data, the system improves operational efficiency, reduces environmental impact, and supports inclusive urban development aligned with Sustainable Development Goals (SDGs)..
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[Audio] Opportunities ➔ How different is it from any of the other existing ideas? ➔ How will it be able to solve the problem? ➔ USP of the proposed solution Growing global investment in smart cities Rising demand for energy-efficient infrastructure Increasing adoption of AI & IoT technologies Public-private partnership potential Expansion opportunities in developing cities.
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[Audio] ❖ How different is it from any of the other existing ideas? Uses predictive AI instead of basic automation Integrates multiple urban sectors in one ecosystem Incorporates digital twin simulation for planning Focus on ethical AI and data privacy Scalable and adaptable framework ❖ How will it be able to solve the problem? Reduces energy wastage using AI-based smart grids Minimizes traffic congestion with intelligent traffic systems Improves recycling using AI waste sorting Optimizes water management through predictive analytics Enables data-driven urban planning.
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[Audio] ❖ USP of the proposed solution End-to-end AI-powered urban ecosystem Real-time monitoring and optimization Sustainable and environmentally friendly model Inclusive and ethical AI governance Scalable for cities of all sizes.
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[Audio] List of features offered by the solution AI-based Energy Optimization Intelligent Traffic Management System (ITMS) Smart Waste Collection & Recycling AI Water Resource Management Digital Twin City Simulation Centralized Smart City Dashboard.
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[Audio] Process flow diagram or Use-case diagram Data Collection via IoT Sensors Cloud/Edge Data Processing AI & Machine Learning Analysis Predictive Decision Making Automated System Optimization Continuous Monitoring & Feedback.
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[Audio] Wireframes/Mock diagrams of the proposed solution (optional).
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[Audio] Architecture diagram of the proposed solution IoT Device Layer Data Integration Layer (Cloud/Edge) AI & Analytics Layer Application Layer (Energy, Traffic, Waste, Water) User Interface Dashboard.
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[Audio] Technologies to be used in the solution Artificial Intelligence & Machine Learning Internet of Things (IoT) Big Data Analytics Cloud & Edge Computing Digital Twin Technology.
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[Audio] Usage of AMD Products/Solutions AMD EPYC Processors for cloud infrastructure AMD GPUs for AI model training and simulation High-performance computing for real-time analytics Edge computing support for smart city deployments.
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[Audio] Estimated implementation cost (optional) Medium to High (depending on city size) Initial infrastructure setup cost AI integration and deployment cost Recurring maintenance and operational cost.
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[Audio] Prototype Assets (Optional) ➔ GitHub Public Repository Link ➔ Demo Video Link (Max: 3 Minutes).
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[Audio] Add as per the requirements of the contest Market Potential Growing global smart city investments High demand for sustainable AI solutions Strong government adoption potential Target Users Municipal Corporations Urban Planning Authorities Government Smart City Projects Social & Environmental Impact Reduced carbon emissions Efficient resource utilization Improved quality of life.
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[Audio] Add as per the requirements of the contest Scalability & Future Scope Scalable from small cities to metros Expandable to renewable energy & disaster management Competitive Advantage Unified AI-powered urban system Predictive & real-time optimization Sustainable and scalable solution.