A look at the 13 finalist projects of ETH Global India Hackathon
Original author: Shenchao TechFlow
In the recently held Ethereum India Hackathon, 13 projects emerged as finalists.
They each demonstrate different creative and technical depth, with their own unique ideas in terms of mass adoption, access to funds, better privacy, and multi-chain protocols.
This article will introduce these projects one by one and delve into their unique contributions to the crypto field.
3-Transform: Analyze Web2 websites and add Web3 functions and teaching with one click
project address
https://three-transform.pettiboy.com/options
Introduction
3-TransformIt is designed to serve as an educational tool for Web3 beginners, allowing Web2 users to seamlessly transition to Web3.
Through 3-Transform, users can enter the URL of their existing Web2 website and experience firsthand what Web3 features can work on their existing website.
Take Reddit as an example. After entering the URL, 3-Transform will automatically analyze the current business and functions of the website, and automatically give some Web3 suggestions. For example, you can add a decentralized voting system for posts and comments to the website. function, making the content on the forum more difficult to tamper with.
In addition, its guided teaching enables users to seamlessly integrate smart contracts into their existing Web2 applications. 3-Transform also has an instant deployment function: the one-click deployment function allows beginners to witness the implementation of smart contracts in reality.
For enterprise users, 3-Transform can:
Improve decision-making efficiency: Executives and project managers can quickly assess the potential impact of Web3 integration on their existing Web infrastructure, promoting informed decision-making.
Rapid deployment, business agility: One-click deployment capabilities ensure rapid execution of Web3 integration, allowing enterprises to adapt to market needs and stay ahead of the curve.
Cost-effective solution: By automating the smart contract generation and integration process, this tool helps companies build prototypes quickly.
Bet on Balls: Decentralized betting platform for local cricket
project address
https://github.com/nidhi-singh02/Bet3
Introduction
Cricket is a very popular sport in India, which has provided scope for the betting industry surrounding the sport to grow.
Bet on BallsSeveral key issues in betting claim have been addressed to improve the overall engagement experience for local fans in India.
As a Web3 project, it utilizes blockchain technology to provide a decentralized and transparent platform that ensures fair competition and tamper-proof transactions.
Since traditional betting platforms often face challenges related to trust and transparency, placing bets on events often involves distrust of the platform.
Bet on Balls alleviates these issues by recording bets on the secure and immutable Polygon blockchain, not only increasing user confidence but also establishing a fair environment. In addition, the decentralized nature reduces reliance on intermediaries, lowers transaction costs, and can facilitate faster payments.
Pixel Police: Identify whether an image or video is the work of AI
project address
https://github.com/nlok5923/attestation-rollup
Introduction
Pixel Policeis a verification protocol that allows people to verify whether an image or video was generated by AI.
In todays digital age, distinguishing between images generated by artificial intelligence and real images, especially in sensitive areas such as news and social media, has become increasingly challenging. Pixel Police addresses this critical need by providing a reliable solution for verifying and tracing the provenance of digital content.
Its key advantages and features are:
Ability to deal with AI-generated content in media: As AI-created images become more realistic, media outlets often struggle to verify the authenticity of the content they receive. Pixel Police ensures that only legitimate, unmodified images are disseminated, maintaining the integrity of the information.
Empowering Citizen Journalism: Pixel Police is cultivating a community of citizen journalists. By providing an app integrated with the Pixel Police protocol, individuals can capture and share images knowing their authenticity will be preserved and verified.
Image Authentication and History Tracking: When a user captures an image via the Pixel Police app, it is immediately signed with the private key on the device and an on-chain proof is generated on Pixel Police’s Rollup. Any subsequent edits will also be documented and documented. This process creates a transparent and traceable history for each image, allowing anyone to verify its authenticity and trace its provenance.
Consistency with emerging industry standards: Pixel Police complies with the Work-in-Progress (WIP) standard C 2 PA (Content Authenticity and Provenance) being adopted by industry giants like Adobe and Microsoft.
Graphite: Using SNARKs for large-scale computations on-chain
project address
https://github.com/AlexCheema/Graphite
Introduction
Graphite is a lightweight graph property proof protocol using SNARKs to solve the challenge of implementing efficient and accessible graph computation on-chain.
(Shenchao’s note: Graph computing is a computing method based on graph models, mainly used to solve large-scale graph data processing and analysis problems.)
Currently, performing graph computations on-chain is painful and expensive, despite their immense utility in a variety of applications. Additionally, the developer experience (UX) for writing validating circuits, such as those in circom and halo 2, is tedious and largely inaccessible to individuals who are not experts in the field.
This complexity limits wider adoption and innovation. Additionally, there are significant difficulties in gathering relevant data to perform these graph calculations when doing extensive on-chain data processing.
Graphite aims to simplify these processes and make graph computing more feasible and user-friendly, thereby opening new possibilities for developers across various fields.
Phoenix.Fi: Using DeFi design to activate the Filecoin storage ecosystem
project address
Introduction
Phoenix.FiSolve several key challenges in the field of staking and lending in the FileCoin ecosystem. First, it empowers Storage Providers (SPs) to choose to request a loan when faced with insufficient FileCoin pledged funds. This not only attracts more SPs to join the platform, but also enables them to effectively optimize infrastructure utilization.
Given the inherent risks involved in lending, in particular the potential risk that SPs may default, Phoenix.Fi has implemented robust risk mitigation strategies. These strategies include rigorous examination of loan qualifications and determination of feasible loan amounts.
Additionally, Phoenix.Fi introduces a unique model that incentivizes stakers and SPs through monetary gains. This model provides a practical, real-world use case for the FileCoin network.
zkP 2 M: USD deposit and withdrawal channel in India
project address
Introduction
zkP 2 MIt is a US dollar deposit and withdrawal channel for Indian users.
Cryptocurrency entry in India faces many issues. Current solutions such as Binance P2P are centralized, have cumbersome KYC processes, high fees, and are incompatible with smart contracts.
zkP 2 M is an on-ramp from INR to USD that is trustless, requires no KYC, has low transaction fees and reduces fraud by matching users with merchants.
FlockChain: A federated learning network built using the PoS mechanism and Rollup
Github
https://github.com/BlocSoc-iitr/FLockChain
Introduction
FlockChainIt is a federated learning network based on PoS and Micro-rollups.
Artificial intelligence is developing rapidly and making an important impact in the world. However, training AI models doesn’t have to be expensive and privacy-invasive. Federated learning is a scheme whereby a decentralized network of clients can train machine learning models in a privacy-preserving manner. A major problem with federated learning is the presence of malicious clients, which degrade the accuracy of the network.
FlockChain solves this problem through PoS. The client that holds the data and is responsible for training the model needs to stake a certain amount of collateral, which may be deducted if malicious behavior is detected. This provides economic security to the network.
FlockChain also built a micro Rollup using Stackr to maintain the state of model parameters trained by each client after each epoch. Rollup acts as a Model Parameter Sharing (MPS) chain, where verifiable off-chain calculations are also performed to enforce cutback conditions.
Ultimately, users can access highly accurate trained models without having to spin up the infrastructure required to train similar models themselves. Users pay a fee for this service, which is allocated to the client. The protocol also charges a small fee to facilitate the network.
hIVM: Rapid Integration of Intent Virtual Machines
Github
https://github.com/AmanRaj1608/hIVM
Introduction
hIVMAddresses a key challenge facing current intent-based solutions in decentralized applications (DApps).
Currently, developers face two different approaches: highly complex general-purpose networks like Anoma and specialized, use-case-specific models like UniswapX and CowSwap. This dichotomy forces developers to choose between the flexibility of a general-purpose approach and the simplicity of specialized solutions, often at the expense of efficiency and ease of integration.
hIVM introduces a groundbreaking solution that merges these two paradigms.
By providing a domain-specific language (DSL), it allows developers to maintain a degree of declarative programming, specifying what needs to be done without having to figure out how to do it.
At the same time, hIVM enables them to outline a high-level, imperative process for their applications. This unique combination facilitates the creation of DApps that are both flexible in design and efficient in operation.
Safe 2 Link: Secure encrypted transfers via link
project address
Introduction
Safe 2 Link It is a dApp that makes transferring money more convenient and safer.
When people make crypto transfers, its common practice to first test whether the address is correct using a small amount. Because once these transfers are completed, they cannot be canceled. Even in the world of cryptocurrency gifts, we often rely on escrow services to make sure everything goes smoothly.
But Safe 2 Link might shake things up a bit – enabling crypto transactions through a specific link.
In the link provided by Safe 2 Link, users only need to enter the amount and tokens to be transferred, and the system will automatically generate an exclusive link for them.
The user can then share this link with the person who needs to trade. The other party can directly click on the link to see the transaction amount and tokens at a glance without having to carefully check the other partys address. It is as simple as sharing a daily content through the link.
Behind the scenes, this link is powered by Safe’s programmable wallet.
KhabriChain: Blockchain-based reporting system to protect whistleblower privacy
Github
https://github.com/J0SAL/decentralized-innovators
Introduction
KhabriChainIt is a decentralized reporting system that gives citizens the right to anonymously report criminal acts.
According to reports, about 75% of Indian citizens are unwilling to provide crime-related information to the police. Only a few people are willing to report illegal behavior and inappropriate behavior around them, while the majority choose to ignore it. Therefore, KhabriChain aims to solve this problem by allowing users to report any criminal activity anonymously. Khabrichain is focused on improving real-time detection and prevention of such crimes without compromising user privacy.
Masala wallet: wallet using ZK for password recovery
Github
https://github.com/rajweb3/masala-wallet
Introduction
Masala wallet It is a wallet that uses ZK-SNARK to facilitate users to recover passwords.
Currently, solutions based on unlocking passwords face the following challenges:
Centralization risk: involves centralized components, such as Web2 companies that rely on centralization.
Increased security vulnerabilities: Dependence on external systems introduces potential risks.
Signature format compatibility: May not match blockchain standards.
Strict authentication failures: For example, in Apples passkey management, too many authentication failures (eg, 10 incorrect attempts) can result in a complete loss of access to the wallet.
Masala wallet uses ZK-SNARK for password recovery services, using Solidity and encryption-integrated tools to get rid of the limitations of centralization to solve the above problems:
User-friendly recovery: Use ZK-SNARK to provide password recovery that balances convenience and security.
Decentralization Adherence: Adhere to the decentralization principle of the blockchain, which is crucial in the crypto community.
Enhanced Security: Focus on strong wallet management and reduce the risk of asset loss.
Multilane: Complete asset transfer without cross-chain bridge
project address
Introduction
MultilaneIt is a protocol that enables assets to interoperate without traditional cross-chain bridges.
Currently, tokens on one chain cannot be directly spent on another chain. If someone wants to use their token on another chain, they must first bridge the token before they can use it. Although this solution works, there are some issues in its implementation.
Bridging assets takes time.
There are cross-chain fees when using cross-chain bridges.
Funds are spread across different chains.
Based on this, Multilane brings its solution:
Through Multilane, users deposit funds into L1, and after depositing funds, they can use those funds on any chain without the need for cross-chain bridges. Because Multilane will sponsor users’ transactions (including ERC 20 and native tokens).
When a user deposits funds on the chain, there are two ways to withdraw them
Request a withdrawal request to the multi-channel node.
Trustless withdrawals: Different blockchains communicate with each other through bridges, proving that your withdrawals are legitimate and no one needs to approve them before you can withdraw them.
CrypticCloak
project address
https://github.com/Dhruv-2003/ETHIndia23
Introduction
CrypticCloak is a stealth address-based and EVM-enabled Micro rollup that helps leverage Ethereums consensus layer and security on any L2 or EVM-compatible chain.
A major challenge facing Ethereum is privacy, as the default settings of public blockchains expose all information to the public. This includes not only financial transactions, but also assets like POAPs and NFTs. Using Ethereum applications means making a significant part of your life public, raising concerns about privacy violations in a variety of scenarios.
CrypticCloak solves this problem by providing an infrastructure that masks one end of the transaction. CrypticCloak can also be used on any EVM compliant chain by providing an interoperable and powerful solution.
This project provides an off-chain but verifiable single point registry for all EVM-compatible chains.
Instead of using heavy zero-knowledge computations, only cryptographic computations are used to help reduce gas and execution time while providing the same level of privacy.
User identities cannot be traced, and even if they could be traced, it would be meaningless.
Based on Micro Rollup, helping to use Ethereums consensus layer and security on any L2 or EVM compatible chain.
CrypticCloak can also be used on any EVM-compatible chain, providing an interoperable and powerful solution.
References related to award-winning projects:Link
