techify gdg hackathon ka kya hai na ki koi

Happy Birthday dear sir la vicharun God bless you with lots of happiness and prosperity and prosperity and prosperity and prosperity

1. Team Details : - Team N ame: Techify . Problem Statement: Medical Waste Management . Team Leader Name: Vishal Shinde . Team Members : Omkar Kadam , Swapnil Yadav , Prathamesh Bharkad .

2. Problem Statement Medical waste management faces significant challenges, including:

3. Opportunities How different is it from any of the other existing ideas? How will it be able to solve the problem? What is the Unique Selling Proposition (USP) of the solution? CEO & Founder Marketi g H SOLUTIONS

4. BLOCK DIAGRAM

5. Abstract, literature survey LITERATURE SURVEY AI in waste management - predicting waste patterns IoT for real time tracking-sensors for bin fills block chain for transparency and real time checking. waste to energy programs ABSTRACT : Biomedical waste generated every year is more than 8% as compared to previous per year . Efforts are being taken to automate waste management by introducing wireless systems. Segregation plans are proposed in order to maximize the recycling of waste and proper handling of non-recyclable waste. That classification would not sustain in wide variety of wastes such as biomedical waste . Hence this type of waste is treated differently. Therefore, such a waste has its own management unit. This study goes over current followed practices that are undertaken by countries and also studies various available technologies to automate such processes and carefully handling biohazardous waste automatically.

6. Artificial Intelligence (AI): Tool/Framework: TensorFlow, PyTorch , or Scikit -learn. - Use: Predictive modeling for waste generation and optimization. 2. Internet of Things (IoT): - Devices: Smart sensors (e.g., RFID, GPS). - Platform: AWS IoT, Azure IoT Hub, or Google Cloud IoT. - Use: Real-time waste bin monitoring and data collection. 3. Blockchain: - Platform: Hyperledger, Ethereum, or IBM Blockchain. - Use: Secure and transparent tracking of waste lifecycle. 4. Waste-to-Energy Technology: - Tools: Pyrolysis and gasification systems for waste conversion. - Use: Turning medical waste into renewable energy. 5. Cloud Infrastructure: - Platform: AWS, Azure, or Google Cloud. - Use: Data storage, processing, and system integration.

7. - Our solution integrates AI, IoT, blockchain, and waste-to-energy for efficient medical waste management. - It ensures real-time tracking, transparency, and sustainable energy generation. - This approach reduces environmental impact and improves regulatory compliance. - With scalability, it can be applied across various regions and facilities. Conclusion :