decodedDataJson: [{"name":"json","type":"string","signature":"string json","value":{"name":"json","type":"string","value":"{\"title\":\"Fuzzy-Dollop\",\"description\":\"Imagine a world where our energy grids are not just smart but also seamlessly interconnected, optimising energy distribution in real-time while safeguarding user privacy. Our project, Empowering Smart Grids with Secure and Private Data Sharing, aims to revolutionise the way smart grids share and utilise data to create a more efficient, resilient, and sustainable energy landscape.\",\"problem\":\"Today’s energy grids face significant challenges. With the increasing adoption of renewable energy sources, the demand for efficient energy distribution has never been higher. However, traditional grids struggle with:\\n\\n- **Data Silos:** Energy data is often fragmented and isolated, leading to inefficiencies and a lack of real-time optimization.\\n\\n- **Privacy Concerns:** Sharing energy consumption data can expose sensitive information, deterring collaboration and innovation.\\n\\n- **Energy Wastage:** Inefficient energy distribution results in significant wastage, undermining sustainability efforts.\",\"solution\":\"We propose a cutting-edge platform that enables secure and private data sharing among smart grids, leveraging blockchain technology and privacy-preserving machine learning (ML).\\n\\n*Key Components:*\\n\\n**Blockchain for Secure and Immutable Data Sharing:**\\n\\n- **Transparency and Security:** Blockchain ensures that all data shared among grids is secure, transparent, and tamper-proof, fostering trust and collaboration.\\n\\n- **Immutable Records:** Every transaction and data exchange is recorded on the blockchain, providing a permanent and auditable trail.\\n\\n**Federated Learning for Decentralised ML Training:**\\n\\n- **Collaborative Intelligence:** Federated learning allows multiple smart grids to collaboratively train ML models without sharing raw data, retaining data privacy and security.\\n\\n- **Decentralised Insights:** Each grid contributes to a global ML model, benefiting from collective intelligence while keeping sensitive data local.\\n\\n**Privacy-Preserving Techniques:**\\n\\n- **Differential Privacy:** Ensures that individual data points cannot be re-identified, adding an extra layer of privacy protection.\\n\\n- **Homomorphic Encryption:** Allows computations to be performed on encrypted data, ensuring that sensitive information remains confidential even during processing.\",\"missionSummary\":\"**Sustainability Impact:**\\n\\nOur platform significantly enhances grid efficiency and sustainability by:\\n\\n- **Optimising Energy Distribution:** Real-time data sharing and advanced ML algorithms help balance supply and demand, reducing energy wastage.\\n\\n- **Reducing Carbon Footprint:** Improved efficiency means less reliance on non-renewable energy sources, promoting a greener energy ecosystem.\\n\\n- **Empowering Consumers:** By safeguarding privacy, we encourage more users to participate in energy-saving programs, further driving sustainability efforts.\\n\\n========\\n\\n**Call to Action:**\\n\\nJoin the Energy Revolution!\\nTogether, let's build a more sustainable energy future.\\n\\n- **Collaboration:** Seeking partnerships with energy providers and technology experts.\\n\\n- **Investment:** Inviting investors to support the development and deployment of the platform.\\n\\n- **Community:** Engaging with the community to raise awareness about sustainable energy solutions.\",\"locationOfImpact\":\"Global\",\"imageURL\":\"\",\"links\":[{\"type\":\"twitter\",\"url\":\"msukanya93\"},{\"type\":\"github\",\"url\":\"sukanyamandal\"},{\"type\":\"discord\",\"url\":\"\"},{\"type\":\"website\",\"url\":\"https://sukanyamandal.github.io/fuzzy-dollop.github.io/\"},{\"type\":\"linkedin\",\"url\":\"https://in.linkedin.com/in/sukanyamandal\"}],\"slug\":\"fuzzy-dollop\",\"businessModel\":\"\",\"stageIn\":\"\",\"raisedMoney\":\"\",\"type\":\"project-details\"}"}}]