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@PokemonGoers TUM Pokémon Goers

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    7 repositories

    • PokeData

      Public
      In this project you will scrape as much data as you can get about the *actual* sightings of Pokemons. As it turns out, players all around the world started reporting sightings of Pokemons and are logging them into a central repository (i.e. a database). We want to get this data so we can train our machine learning models. You will of course nee…
      JavaScript
      •
      Apache License 2.0
      •6•9•2•0•Updated Jan 3, 2017Jan 3, 2017

    • PredictPokemon-2

      Public
      In this project we will apply machine learning to establish the TLN (Time, Location and Name - that is where pokemons will appear, at what date and time, and which Pokemon will it be) prediction in Pokemon Go.
      JavaScript
      •
      Apache License 2.0
      •3•9•1•0•Updated Dec 30, 2016Dec 30, 2016

    • PokeMap-1

      Public
      The world of Pokemon GO is as big as our planet. Pokemons have been sighted on top of cliffs perched over oceans as well as in your next door coffee shop. We would like to create a world-wide interactive map that shows where Pokemons were predicted to appear. Each pokemon prediction you add to the map should have all relevant information includi…
      JavaScript
      •
      Apache License 2.0
      •3•5•4•0•Updated Dec 10, 2016Dec 10, 2016

    • Catch-em-all

      Public
      Now that we have tons of data about Pokemon (what they are, where they are, what’s their relationship, what they can transform into, which attacks they can perform, aso) we want to integrate it all into a comprehensive website. This website should contain sections about each Pokemon and its details. Additionally, the website should register the …
      TypeScript
      •7•9•7•1•Updated Nov 21, 2016Nov 21, 2016

    • PokeMap-2

      Public
      The world of Pokemon GO is as big as our planet. Pokemons have been sighted on top of cliffs perched over oceans as well as in your next door coffee shop. We would like to create a world-wide interactive map that shows where Pokemons were predicted to appear. Each pokemon prediction you add to the map should have all relevant information includi…
      JavaScript
      •
      Apache License 2.0
      •7•2•3•0•Updated Oct 10, 2016Oct 10, 2016

    • HashPokemonGo

      Public
      Live sentiment analysis on pokemon in a x km radius - this can be easily implemented expanding on the work done last semester https://github.com/Rostlab/JS16_ProjectD_Group5 . We also want to know what people think about that Pokemon! So the user of the app should be able to visualize a live sentiment feed around his/her area (that is, given a l…
      JavaScript
      •
      Apache License 2.0
      •1•2•4•0•Updated Sep 24, 2016Sep 24, 2016

    • general

      Public
      General project-related and inter-project related matters
      0•0•1•0•Updated Sep 16, 2016Sep 16, 2016