https://github.com/larry8668/crypto-investigation

✨🥉A cryptocurrency investigation and tracker with webhooks, automated emails for flagged wallet IDs, chatbot (support languages like Kannada, Telugu, etc). Made for CID Police hackathon. Placed 3rd .
https://github.com/larry8668/crypto-investigation

bitcoin cryptocurrency etereum nodejs reactjs

Last synced: 4 days ago
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✨🥉A cryptocurrency investigation and tracker with webhooks, automated emails for flagged wallet IDs, chatbot (support languages like Kannada, Telugu, etc). Made for CID Police hackathon. Placed 3rd .

• Host: GitHub
• URL: https://github.com/larry8668/crypto-investigation
• Owner: Larry8668
• Created: 2024-03-02T05:55:45.000Z (9 months ago)
• Default Branch: master
• Last Pushed: 2024-04-04T11:01:57.000Z (8 months ago)
• Last Synced: 2024-04-24T11:02:22.976Z (7 months ago)
• Topics: bitcoin, cryptocurrency, etereum, nodejs, reactjs
• Language: JavaScript
• Homepage: https://cryptos-ui.vercel.app/
• Size: 790 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        



  



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## Features Provided by Spectra 🎊

1. Graphical Representation.

   An interactive representation of all transactions for every wallet ID, in real time, for real wallet IDs.

   Developed using  `react-vis-network-graph`

2. Flagging Malicious Wallet IDs.

   On flagging, this service will register the wallet ID to a webhook that will notify the investigators of any activity on that account, via an Email.

3. Support for Ethereum and Bitcoin.

4. Downloading all transactions in the form of a CSV file.

   This feature opens doors for various others in the form of data analytics and machine learning for predictive study.

5. Chatbot features.

   The bot permits scouting transactions and wallets by just conversing with it!

   Can speak in Kannada, Hindi, Telugu and various other languages.



  



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## Other Technologies Used ⚡️

1. React.js with Vite

2. Node.js

3. Aceternity UI

## Upcoming Features. 🔮

1. API caching using Redis.

2. LLM support for beginners.