TECHNO MAFIA VII A Animals and aquatic species are affected Improper disposal of plastic wastage.
Making prototype for proper disposal of wastage
Awarpur, Chandrapur Maharashtra
Solution
| Component | Description |
|---|---|
| Technical Components | ### **Comprehensive Analysis & Technical Specifications** #### **1. Technical Components Needed** To achieve the required behaviors and avoid prohibited ones, the following components are necessary: ##### **A. Waste Collection & Management System** - **Water Body Garbage Collector (Floating Drone/Conveyor System)** - Sensors: GPS, ultrasonic (to detect garbage), water quality sensors - Mechanism: Conveyor belt with filtration to prevent re-entry into water - Power: Solar panels + rechargeable battery - Material: Stainless steel (rust-resistant) - **Automated Waste Segregation Unit** - AI-based waste classification (using cameras & ML models) - Separate compartments for organic, plastic, metal, and hazardous waste - Compactor for reducing volume - **Composting Unit** - Temperature & moisture sensors for organic waste decomposition - Automated mixing mechanism ##### **B. Awareness & Monitoring System** - **Mobile App & Web Dashboard** - Features: Reporting illegal dumping, educational content, waste pickup scheduling - Integration with IoT waste bins for real-time monitoring - **Community Engagement Platform** - Gamification (reward points for proper disposal) - Social media integration for awareness campaigns ##### **C. Safety & Compliance Mechanisms** - **Animal-Proof Waste Bins** - Locking mechanism triggered by motion sensors - Durable, chew-resistant materials - **Air Quality Monitoring for Plastic Burning** - Gas sensors (CO₂, dioxins) near waste processing areas - Alerts sent to authorities if burning detected --- #### **2. Recommended Tech Stack** | **Category** | **Tech Stack** | |--------------------|---------------| | **Hardware** | Raspberry Pi (for IoT waste bins), Arduino (for sensors), Solar-powered drones | | **AI/ML** | TensorFlow/PyTorch (waste classification), OpenCV (image processing) | | **Backend** | Node.js/Python (REST APIs), Firebase (real-time DB) | | **Frontend** | React.js/Flutter (mobile & web app) | | **Cloud Services** | AWS/Azure (hosting), Twilio (SMS alerts) | | **Embedded Systems** | ESP32 (Wi-Fi-enabled sensors) | --- #### **3. Detailed Implementation Steps** | **Phase** | **Steps** | |-----------|----------| | **1. Awareness Programs** | - Conduct workshops in schools & communities<br>- Distribute jute bags & educational pamphlets | | **2. Machine Development** | - Prototype garbage collector drone<br>- Train ML model for waste segregation | | **3. Pilot Deployment** | - Install smart waste bins in high-risk areas<br>- Test water body garbage collectors | | **4. Full Implementation** | - Scale up waste segregation units<br>- Integrate mobile app for reporting | | **5. Monitoring & Maintenance** | - Regular sensor calibration<br>- AI model retraining for accuracy | --- #### **4. Required Technical Learning** - **AI/ML:** Waste classification models (transfer learning with ResNet/YOLO) - **IoT:** Sensor integration (GPS, ultrasonic, gas sensors) - **Embedded Systems:** Arduino/RPi programming for waste collectors - **Cloud Computing:** AWS IoT Core for real-time monitoring - **Mobile Dev:** Flutter/React Native for cross-platform apps --- #### **5. Budget Calculation** | **Category** | **Estimated Cost (USD)** | |------------------------|--------------------------| | **Hardware Costs** | | | - Garbage collector drones (x5) | $5,000 | | - Smart waste bins (x50) | $10,000 | | - Sensors (GPS, ultrasonic, gas) | $2,000 | | - Solar panels & batteries | $3,000 | | **Software Costs** | | | - AWS/Azure cloud hosting | $1,200/yr | | - Twilio API (SMS alerts) | $500/yr | | - ML model training (GPU costs) | $800 | | **Maintenance (1st Year)** | | | - Technician salaries | $6,000 | | - Replacement parts | $2,000 | | **Total Estimated Budget** | **$30,500** | --- ### **Conclusion** This solution integrates **AI-powered waste segregation, IoT-enabled garbage collectors, and community awareness programs** to ensure proper waste disposal while avoiding prohibited behaviors. The estimated **first-year budget is ~$30,500**, covering hardware, software, and maintenance. Future scalability includes expanding drone fleets and AI-driven waste tracking. Would you like additional refinements (e.g., alternative hardware vendors or cost optimizations)? |
| Key Features | No key features specified |
| Implementation Steps | 1.Firstly, we will conduct programs. 2.Secondly, we will spread awareness of proper use and disposal of garbage. 3.Then, we will create machines with codes. 4.Then, we will implement them. 5.finally done. |