This is a Python-based application that allows users to search for information about different Pokemons. The app has four main screens:
Search: This screen allows users to search for a Pokemon by name or ID. When the user enters a valid query and clicks the search button, the app loads the corresponding Pokemon's information.
Stats: This screen displays the information about the Pokemon selected by the user in the Pokemon Loader screen including its image, name, ID, type(s), height, weight, abilities, and stats (HP, Attack, Defense, Special Attack, Special Defense, and Speed). The app shows the same information as in the previous screen but in a more detailed and organized way.
AI: The AI section of this app leverages advanced image classification techniques to predict generation 1 pokemon species from images. Capture the essence of your surroundings, and let the AI unveil the Pokemon that resides within your photos. The application's intuitive interface makes it easy for both Pokemon enthusiasts and AI enthusiasts to dive into a seamless and magical experience.
Favourites: The Favourites section of this app allows the users the view their favourite pokemons in an organised way. A pokemon can be added in the Favourites section by clicking on the star icon in the Search screen.
The app is built using the following technologies:
Python 3.8: The core programming language used to develop the app.
Kivy: A free and open-source Python framework for creating multi-touch applications with a natural user interface (NUI).
KivyMD: A collection of Material Design compliant widgets for Kivy, a Python framework for building multi-touch applications.
PyTorch: An open-source deep learning framework.
ResNet18: A specific neural network architecture within PyTorch, renowned for its effectiveness in image recognition tasks with its 18-layer deep structure.
PokeAPI: A RESTful API that provides access to data about Pokemon creatures from the Pokemon video game franchise.
To run the app, you need to have the following software installed on your computer:
Python 3
You also need to install the following Python packages:
kivy (v2.0.0)
kivymd (v1.1.1)
requests (v2.28.2)
torch (v1.9.1)
torchvision (v0.10.0)
pillow
You can install them by running the following command in your terminal:
pip install -r requirements.txt
OR
pip install kivy==2.0.0 kivymd==1.1.1 requests==2.28.2 torch==1.9.1 torchvision==0.10.0 pillow
To run the app, you need to execute the main.py script located in the root directory of the project. You can do it by running the following command in your terminal:
python3 main.py
When you run the app, you will see the Search screen. Enter the name or ID of a Pokemon and click the PokeSearch button to load its information. If the Pokemon exists, you will see its name, image, and other details. Click the Pokemon icon to see more details about the selected Pokemon in the Stats screen.
In the Stats screen, you can see the same information as in the previous screen but in a more detailed and organized way.
The app and AI were developed by Omanshu.