TUM Pokémon Goers
- Garching, Germany
- https://rostlab.org/owiki/index.php/Javascript_technology_2016-2
Popular repositories
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Catch-em-all
Catch-em-all PublicNow 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…
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PredictPokemon-2
PredictPokemon-2 PublicIn 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…
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HashPokemonGo
HashPokemonGo PublicLive 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 …
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…
- 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.
- 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…
- 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 …
- 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…
- 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…
