Go-Quizzer is an app to automatically solve quiz for you

Technologies that I played around in this side project:

MITM server: goproxy
In-memory NoSQL database: boltDB
Image to text conversion

a. OCR: tesseract, Google Vision API

b. Image hashing: dHash, aHash
Machine Learing for matching the closest option to quiz body, given google/wiki searching results as reference.

a. Sliding window sketch methodology

b. SVM and kernal tricks
- Gaussian kernal
- Exponential kernel
c. Weight matrix

d. Covariance matrix

All of these were implemented in Golang from scratch, which gave me significantly higher quizzing accuracy than the naive frequency-counting approach used by most relevant projects.

Name		Name	Last commit message	Last commit date
Latest commit History 165 Commits
blivedm		blivedm
certs		certs
cmd		cmd
corpus		corpus
device		device
dict		dict
lpsolver		lpsolver
vendor		vendor
.gitignore		.gitignore
CorpusBG.csv		CorpusBG.csv
CorpusCharacterlist.xls		CorpusCharacterlist.xls
CorpusWordPOSlist.csv		CorpusWordPOSlist.csv
CorpusWordPOSlist.xls		CorpusWordPOSlist.xls
CorpusWordlist.xls		CorpusWordlist.xls
LICENSE		LICENSE
api.go		api.go
cache.go		cache.go
ctx.csv		ctx.csv
handler.go		handler.go
memoryDb.go		memoryDb.go
ocr.go		ocr.go
package-lock.json		package-lock.json
questions.data		questions.data
questions.data.lock		questions.data.lock
questionsHash.data		questionsHash.data
readme.md		readme.md
screenshotHandler.go		screenshotHandler.go
spider.go		spider.go
stream.py		stream.py
webserver.go		webserver.go