Citation :

Nayarit Eligeti, Bertha Mohan Krishna, Allure Jeeves Swamy, Ashlesha Kolarkar, 2026. "Data System Languages: An Expressive Framework for Distributed Heterogeneous Data Analytics" ESP International Journal of Advancements in Science & Technology (ESP-IJAST)  Volume 4, Issue 2: 11-17.

Abstract :

Task Bounty Board is a decentralized application () developed to revolutionize how microtasks are produced, claimed, and finished with the help of blockchain technology. Built upon the aground network, this platform enables clients to post tasks with enlisted rewards as ALGO tokens. Freelancers or Partakers can browse for any available tasks, claim them then submit proof of completion via IPFS (Inter Planetary File System) and will receive rewards directly via smart contracts. Our application evacuates the inefficiencies and inequity found in traditional platforms with help of smart contract-based escrow, DAO-based dispute resolution, and decentralized storage for task submissions. This establishes an environment where payments are instant, fair, and indefinite. The technical stack of our project includes React.js and Tailwind CSS for frontend, PostgreSQL and Jingo, Algoid for Smart Contracts and Pera wallet for Wallet Integration. Future improvements include user reputation tracking, and cross-chain capabilities.

References :

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Keywords :

Escrow, Indefinite, Inefficiency, Interplanetary, Partaker, Reputation