29 lines
965 B
Markdown
29 lines
965 B
Markdown
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# swipe input keyboard for indian languages.
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given a gesture made on the keybard,language chosen-> keyboard layout
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predict the word that matches closest.
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## Input
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gesture data -> polygon(shape,size,corners, path), (time, pauses)?, spatial data with word character correlation.
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weighted-vocabulary,corpus for the language,history of gesture-word mappings/corrections for the user.
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language, keyboard layout
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## Output
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Predict the word
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## Model
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Structured Output/HMM/ CNN?
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# mnist hand-written digit database -> build application for recognizing full phone numbers(10 digit).
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## Input
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mnist digit database, generated 10 digit images with random positioning,orientation,scale of individual digit images sampled randomly from the mnist database.
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## Output
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predict the phone number
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## Model
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regression model to identify the points where the split for the images has to be made and pass the
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split images to mnist digit recognizer to identify the digit.
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