Trash to Treasure: An Android App for Reward-Based Waste Management
A smart waste management system is proposed. Users register through an app and collect various types of waste. Users take pictures of collected waste and upload them to the app for rewards.
Cons of Reward-Based Garbage Management Project:-
- Initial Costs: The deployment of AI-based systems may involve significant upfront costs for development, hardware, and infrastructure.
- Technical Challenges: Technical challenges such as false positives or negatives in garbage detection, especially in complex environments, may require ongoing refinement of algorithms.
- Privacy Concerns: Image or video data used for garbage detection may raise privacy concerns, necessitating careful consideration and adherence to privacy regulations.
- 4. Dependency on Technology: The success of the project depends on the reliability and effectiveness of AI technologies, and any technological failures could impact system performance.
- Maintenance Complexity: Ongoing maintenance and updates are required to keep the system effective, requiring resources and expertise for continued operation.
- Limited Coverage: The effectiveness of the system may be limited to areas with proper infrastructure and may not be immediately applicable in all regions.
- Community Acceptance: There might be resistance or skepticism from the community regarding the use of AI in waste management, requiring efforts to educate and gain acceptance.
- Environmental Bias: If not carefully trained and tested, AI models may introduce biases that affect the fairness of waste classification, potentially leading to unintended consequences.
Android app for Smart Waste Management System with a Reward based System
Software Requirements :-
- Coding Language : Python
- Implementation: Software Framework.
- Operating system : Windows 10 / 11.
- Graphical User Interface : Tkinter
Hardware Requirement:-
- Input Devices : Keyboard, Mouse.
- System : Pentium i3 Processor.
- Hard Disk : 500 GB.
- RAM : 4 GB.
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