@SIH Idea submission- Template 1

Buddy Bytes Swachh AI: AI-Powered Waste Management Platform

Idea/solutions: KEY FEATURES:

➢ Automates waste type detection using Google Gemini AI ➢ AI Waste Detection – Automatically identifies waste.
for accurate reporting. ➢ Rewards & Leaderboards – Motivates eco-friendly actions.
➢ Incentivizes citizens through a gamified reward system ➢ Real-Time Collection – Tracks and optimizes waste tasks.
with redeemable points. ➢ Geo Reporting – Reports dumping sites and shows facility
➢ Optimizes pickups via GPS-enabled real-time collection locations.
tracking and task assignment. ➢ In-App Training – Guides users on segregation &
➢ Boosts participation with community leaderboards for composting.
areas and organizations.
➢ Educates users using AR-based segregation guides and DESIRED OUTCOMES:
in-app learning modules. ➢ Better Waste Tracking – Record and monitor all waste.
➢ Empowers ULBs with a live dashboard, heatmaps, and ➢ Active Citizen Participation – Encourage segregation and
predictive analytics. reporting.
➢ Reduced Environmental Impact – Minimize dumping and
CHALLENGES ADDRESSED: landfill load.
➢ Improves waste collection and treatment efficiency. ➢ Informed Communities – Provide training and facility
➢ Reduces unsegregated and unaccounted waste. access.
➢ Boosts citizen participation in waste management. ➢ Efficient Collection – Optimize routes and task
➢ Enables real-time monitoring and reporting. management.

@SIH Idea submission- Template 2

Buddy
Bytes TECHNICAL APPROACH
TECH STACK:

➢ Frontend: Next.js, TypeScript,

Tailwind, Shadcn, Preline, Tabler Icons.
➢ AI/ML: Google Gemini AI, OpenAI
(optional)
➢ Auth: Web3Auth
➢ Database: Neon DB, Drizzle ORM
➢ Backend: Next.js API
➢ Deployment: Vercel, ESLint, Prettier.
➢ Utils: Geo-tagging, React Hooks,
Tailwind plugins.

@SIH Idea submission- Template 3

 Buddy Bytes
FEASIBILITY AND VIABILITY
ANALYSIS & FEASIBILITY: SWOT ANALYSIS:
➢ Strengths:
➢ Technical Feasibility: Built with Next.js 14 frontend, Drizzle ORM • AI improves accuracy and boosts engagement.
backend, Google Gemini AI for waste verification, and Web3Auth • Secure, scalable platform with Web3Auth.
for secure authentication; supports real-time tracking and scalable ➢ Weaknesses:
cloud infrastructure. • Relies on smartphones and internet access.
➢ Cross-Platform Compatibility: Accessible via web and mobile, ➢ Opportunities:
designed for responsive use across urban and semi-urban areas • Growing government and NGO focus.
with multilingual support. • Expansion to recycling and smart cities.
➢ Scalability: Cloud-based deployment allows scaling from small ➢ Threats:
towns to large cities with minimal infrastructure changes. • Privacy, digital divide, and competition risks.
➢ AI/ML Integration: Uses Google Gemini AI and OpenAI APIs for
waste image verification and reporting accuracy; continuous POTENTIAL CHALLENGES AND RISKS:
training improves model reliability. ➢ AI/ML Integration: Edge cases in waste
➢ User Adoption: Gamification, rewards, and simple UI promote classification; needs ongoing training.
engagement among citizens, waste workers, and local bodies. ➢ Scalability: High costs with GPS/sensor rollout;
➢ Cost Considerations: Moderate development costs with potential phased approach needed.
savings through improved waste segregation, reduced landfill load, ➢ User Adoption: Maintaining engagement;
and community participation incentives. incentives and penalties needed.

@SIH Idea submission- Template 4

 Buddy Bytes
IMPACT AND BENEFITS
SOCIAL BENEFITS: IMPACTS:

▪ Empowered citizens via AI-driven reporting and ➢ AI verification improves report accuracy.
education. ➢ Rewards drive better segregation and participation.
▪ Gamification incentivizes eco-friendly actions. ➢ Enhanced tracking enables timely waste management.
▪ Safer waste workers with digital training and tools. ➢ Data aids local bodies in decision-making.

ECONOMIC BENEFITS: USE CASE:

▪ Jobs in AI monitoring, reporting, and recycling. ➢ Users earn rewards for consistent correct waste
▪ Revenue from recycling, compost, and Waste-to- segregation, redeemable for bill discounts or benefits.
Energy(WtE). ➢ AI flags incorrectly segregated waste and sends alerts to
▪ Reduced landfill management costs. users for correction.
➢ Digital training modules educate citizens and waste workers
ENVIRONMENT BENEFITS: on segregation and safety.
➢ Geo-tagged photos help authorities quickly spot and
▪ Cuts illegal dumping through real-time reporting. address illegal dumping.
▪ Boosts recycling, composting, and energy recovery. ➢ Community leaderboard tracks top contributors,
▪ Lowers emissions and improves urban cleanliness. encouraging competition and public participation.
@SIH Idea submission- Template 5
Buddy Bytes RESEARCH AND REFERENCES
BOOK REFERENCE:

➢ Solid Waste Management in Indian Cities – SpringerLink

• Covers policies, collection, and treatment systems
• Link: https://link.springer.com
➢ Waste-to-Energy: Technologies and Project Implementation – Elsevier
• Explains WtE plants, biogas, and recycling processes
• Link: https://www.sciencedirect.com/book/9780128155547/substitute-natural-gas-from-waste

RESEARCH WORK:
ONLINE RESOURCES:
➢ AI-powered Waste Detection – Use of Gemini AI for
➢ CPCB MSW Annual Report 2021–22
real-time image classification and waste verification.
• link: https://ceew.in/publications
➢ Drizzle ORM & Neon DB used for lightweight and
➢ Swachh Bharat Mission Guidelines
scalable backend data tracking.
•link: https://swachhbharatmission.gov.in
➢ Web3Auth enables secure, decentralized citizen
authentication.

@SIH Idea submission- Template 6