AI Insights Signal
Reporting 2 more issues today will earn you the 'Indore Guardian' badge! 🏆
Your Points
450
Cleanup Rank
#12
Active Reports
3
CO₂ Saved
12kg
📂 Recent Activity
View AllOverflowing Bin Reported
2h ago
Scrap Metal Listing Created
5h ago
Garbage Pile Cleaned
Yesterday
Daily Goal 🎯
Report 2 waste issues today to earn a "City Hero" badge!
1/2 Reports Done
Submit Report NowProblem Statement
The challenges we're solving
Urban cities generate ~60% of total solid waste, yet monitoring remains inefficient 📊
~40–50% waste collection struggles between time, cost, and coverage ⚠️
Municipal bodies lack real-time data for ~70% reported waste issues 📉
Existing Methods or Systems
- • Manual complaint registration 📝
- • Photo-based reporting apps 📸
- • Fixed-route waste collection 🚛
- • Informal scrap collection (offline) 🗂️
Limitations and Challenges
These systems fail to address waste problems proactively and efficiently due to:
- ⏱️ No real-time waste monitoring
- 🔮 No prediction using past data
- 👥 Low citizen participation (no incentives)
- 🔄 Repeated waste overflow at same locations
Need
A solution that empowers both citizens and authorities to enable timely cleanup and responsible waste management based on real-world conditions 🌍✨
Proposed Solution
8 key features for smart waste management
Citizen Waste Reporting
Enables citizens to capture and report waste issues using photos and live location for faster action.
Real-Time Status Tracking
Shows live complaint status (reported, in-progress, resolved) for transparency and trust.
AI-Based Waste Prediction
Analyzes past cleanup data to predict waste overflow and trigger proactive cleaning.
Waste as a Resource System
Allows users to share, exchange, or sell recyclable waste through a digital platform.
Priority-Based Cleanup Routing
Automatically prioritizes waste locations based on severity, location, and time.
Duplicate Complaint Detection
Uses AI and location matching to reduce repeated reports of the same issue.
Citizen Reward System
Rewards users with points for valid reports and responsible waste contributions.
Municipal & NGO Dashboard
Provides authorities and partners with analytics, heatmaps, and performance insights.
Our Team
Koding Titans 🚀
NITESH
LNCT
Leader : AI & ML
RAMANAND
SRIT
App Developer
SHASHANK
LNCT
Full Stack Developer
MAITRI
LNCT
Designer
Chosen Technology Stack
Tools, platforms, and frameworks 🛠️
Feasibility and Impact
Why TitanClean works and its benefits
Practical Feasibility
- • Uses existing mobile infrastructure
- • Integrates with municipal workflows
- • Built with proven technologies
- • City-wise deployment ready
Expected Impact
- • Faster waste cleanup
- • Higher citizen participation
- • Reduced health risks
- • Better recycling rates
- • Improved accountability
Scalability
- • Wards → Cities → States
- • Cloud-based architecture
- • AI improves with data
- • Long-term sustainability
- • NGO integration ready
Implementation Plan
Development approach, timeline, and future scope 🎯
MVP Development
Build the core mobile app with waste reporting, photo upload, and location tagging to validate the concept quickly.
Backend & Data Integration
Set up backend services with MongoDB, APIs, and cloud storage to manage reports, users, and waste data securely.
AI & Prediction Module
Develop AI models to detect duplicate complaints and predict waste overflow using historical cleanup data.
Notifications & Rewards System
Integrate real-time notifications and a reward mechanism to encourage active citizen participation.
Pilot Deployment & Scaling
Launch a pilot in selected areas, collect feedback, optimize performance, and prepare for city-wide expansion.