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Working from home
:octocat:
Working from home
3 followers · 3 following

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Achievement: QuickdrawAchievement: Pair ExtraordinaireAchievement: Pull Shark

Achievements

Achievement: QuickdrawAchievement: Pair ExtraordinaireAchievement: Pull Shark

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Satyasn01/README.md

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About Me:

  • 💪🏼 Spearheading technology initiatives and entrepreneurial ventures.
  • 🌱 Deep diving into the intricacies of blockchain technology.
  • 💬 Keen to discuss the ever-evolving world of digital innovations.
  • 😂 Fun Fact: Did you know bats are the only mammals naturally capable of sustained flight?
  • 📫 Contact: Email | LinkedIn

Connect with me:

satyasn01-github satyasnayak-linkedin satyasn__-twitter

Languages and Tools:

solidity python flutter c cplusplus java javascript react truffle

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  1. p2p_EnergyTrading p2p_EnergyTrading Public

    EnergyTrading leverages Ethereum blockchain to enable decentralized, peer-to-peer energy trading for EV owners, promoting renewable energy and efficiency.

    Solidity 1

  2. You-can-see-but-not-capture You-can-see-but-not-capture Public

    React app leveraging TensorFlow.js and COCO-SSD to detect and respond to cell phones in real-time via webcam, enhancing security and privacy in sensitive environments.

    JavaScript

  3. Property-Trading Property-Trading Public

    Property Trading Platform: A real-time marketplace for buying and selling real estate, featuring dynamic listings, transaction management, and integrated financial tools, built using React and Node…

    JavaScript

  4. web3-job-hunt web3-job-hunt Public

    Comprehensive Jupyter notebook analysis of the blockchain job market, detailing trends, salary data, and job distribution to aid job seekers and employers in the Web3 space.

    Jupyter Notebook

  5. Budget_Maker Budget_Maker Public

    BudgetMaker is a Python-based tool designed to simplify personal budget management, offering features for automated allocation, expense tracking, and financial planning.

    1

  6. Waiter-tipping Waiter-tipping Public

    Machine learning model using Decision Tree Regressor to predict tip amounts based on food quality, service, ambiance, and other factors at restaurants.

    Jupyter Notebook