Natural Language Processing (NLP), Search and Wearable Technology
Report1
1. Smart PDF Reader
UPENDRA SINGH| UG201310038
RAVI PRAKASH GUPTA| UG201310027
MENTOR
Dr. Venkata Ramana Badarla
2. Problem Statement And Motivation
Tired of googling every word while reading something you find interesting?
The major problem faced by people who are willing to read is that they are refrained due to
lack of knowledge of the particular language the text is written in and due to lack of
resources at the present time they quit reading.
Another major problem is the misinterpretation of the context due to lack of meaning of
some particular words, quite commonly observed in case of students.
The aim of the project will focus these common problem of electronic reading. Our team will
be working towards creating a smart and dynamic pdf reader which can be used by the
reader. Providing him the best experience eradicating all the above problems.
3. Possible Solution
A reader with inbuilt features of popping out the meaning,
possible reference and examples would cater to the problem
statement in a great effective way.
Inbuilt dictionary, automatic google search and Wikipedia
reference are the components we would be embedding in the
prototype.
Smart PDF Reader
(Cross Platform)
4. Survey
Among over 1500 million English speakers, only 375 million speakers are
native. The rest of the lot find it difficult to understand the language in a
dignified way present in the literature.
Large number of words are added to the English literature every year and are
continuously being used in modern texts and most of the people are not aware
of the same.
Among the present pdf readers, none of them provide the inbuilt
aforementioned features.
A1:Every day
A2:At least once per week
A3:At least once per month
A4:A few times per year
A5:Rarely
A6:I used to use them but
don't anymore
A7:Never
Source - Internet
5. Modularization
We would be working towards the completion of the
project via five following sub-problems :
GUI
PARSER
READER
SMART
READER
CROSS
PLATFORM
Module Team Member Duration
GUI Application as per features. Upendra 15 Feb - 5 March
PDF Parser (Binding and analysis of
PDF Files, text extract and process)
Ravi 15 Feb - 29 Feb
PDF Reader (All features like zoom,
extract text to copy, select etc. )
Ravi 29 Feb - 25 March
Implementing and embedding APIs
(How dictionary will work in reader)
Upendra 5 Feb - 20 March
Cross Platform-Android App( Android
studio to build app)
Upendra 20 March – 10 April
Cross Platform-Linux App(Kivy to make
cross platform)
Ravi 25 March – 10 April
