AI Pokedex Game

Pokédex powered by AI and automated with Python and Tines.

PythonTinesOpenAI VisionOpenAI Text GenAWSMachine Learning

❓Problem

Demonstrate AI capabilities in automation to third-party through an engaging, gamified example

🛠️Solution

Built a Pokédex where users submit Pokémon images, analyzed via OpenAI Vision, and dynamically generate Pokédex entries using Text Gen. Tines orchestrates automation, and a custom ML model recommends Pokémon to catch based on typing and strength.

📈Impact

Award-winning finish. Strengthened AI engineering skills, exposed to model training, automated workflows, and API integrations. Provided a fully interactive, scalable system including recommendations.

🎯Key Takeaways

Experience designing end-to-end AI-powered automation systems, integrating generative AI, and building recommendation engines. Reinforced full-stack engineering and ML deployment skills.

High-Level Breakdown

  • Users submit Pokémon images → analyzed by OpenAI Vision.
  • Vision output structured → fed to Text Gen for Pokédex description.
  • Tines orchestrates automation, maintains structured database, Python scripts help backend processing.
  • Recommendation engine trained on Pokémon data, deployed via AWS Lambda.
  • Interactive system allows team/party building, scalable and extendable for future features like battles.