AI_gym_assistent

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Project 2: pdf extractor using python

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let us prepare a project of few codes to extract the whole pdf    import pip install PyPDF2 code: ............................................................................................................................................. from PyPDF2 import PdfFileReader #read a pdf file ie. by rb mode file=open("Handbook.pdf",'rb') #reader ia s variable use to read file  reader=PdfFileReader(file) #lets get the info of the pdf document print("document info:",reader.getDocumentInfo()) print() #getNumPages() this comand can get you page numbers of pdf print("number pf pages are:",reader.getNumPages()) #lets take variable "pages" to take comand over get number of pages pages=reader.getNumPages() for i in range(0,pages):     print("page number=",i+1)     pageObj = reader.getPage(i)     print(pageObj.extractText()) print() print(reader.getDocumentInfo().creator) file.close() ............................................................
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spealized the work. Be ready for the future

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1. Cultivate a Growth Mindset Cultivating a growth mindset includes skills to stay relevant, be curious, continuously learn and grow and adapt to change. Role descriptions and tasks often change, especially as digital technologies continually alter the way we work. Your employer will want to know that you’ll be able to pick up new tasks and that you wouldn’t get frustrated when something is difficult or doesn’t work straight away. This includes being resilient and aiming high, being curious and open to new opportunities and feedback. 2. Learn to Earn Learn to Earn skills include the ability to find successfully, apply and interview for a job and to operate effectively within the workforce. These skills are used in many jobs on a day to day basis and include skills such as numeracy, literacy, time management and organisation. 3. Build Tech Know-How In almost every job, you have to use digital devices or technologies in one way or another. Your employer will want to know that you can lea...
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Pcb Fault Detection(Deep Learning Technique)

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  Hello,  that's how I applied my deep Learning skills to my electronics industry  application Technical except After iterating through many models we find this model to be giving good accuracy and least loss. we used  #yolo  v5 with 4000 epoch. here us the latest update to the dataset. I have gathered data related to pcb fault detection. I have gathered a huge amount of image data. and I have open sourced it via-Kaggle. feel free to explore it.
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