Project archive
AI Applications · Case study 02

Trader AI Chatbot

AI-powered cryptocurrency analysis and information platform

Role

Full Stack Developer

Stack

Next.js · Django · Python · RAG

Access
Private project

Context

Built for Cartel AI while working with Sam Digital Solutions, the product combines conversational discovery with market information.

Problem

Crypto research is fragmented across fast-moving data sources and requires a coherent information interface.

Constraints

  • Changing third-party market data
  • Ground answers in retrieved information
  • Coordinate a Next.js and Django stack

Architecture

  • Next.js product interface
  • Django and Python backend
  • Retrieval-augmented generation pipeline
  • Cryptocurrency data and prediction integrations
  • REST API boundary

Major features

  • Crypto-focused conversational interface
  • Real-time asset information
  • Technical and fundamental analysis
  • Prediction integrations
  • Referral analytics

Engineering decisions

  • Use RAG to keep responses tied to available product knowledge
  • Separate the web interface and AI/data service concerns

Challenges

  • Presenting multiple analysis modes coherently
  • Integrating changing external data sources

Outcomes

  • Delivered an integrated crypto information and analysis product
  • Combined conversational, market-data and referral workflows