FastPanda

Academic

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FastPanda
As the strength of FAST Islamabad students is increasing each year, it is getting extremely tough
for the café management to deliver products on time and to synchronize the orders and maintain
a fair queue of pending orders. The students also face the difficulty of not getting the orders on
time due to wrong time estimation. FastPanda provides the solution to all this chaos as the whole
café system will be automated in an efficient way. FastPanda is not only giving benefit the users
but also facilitating the café management to manage the orders according to their resources.
There are two views of this app - User View and Admin View. User View will provide the facility of
placing orders online, maintaining user profile. Similarly, admin view will allow the admin to see
all the orders, adding/removing items in menu, check status of the kitchens and many more.
High level features include:
e Efficient Task Scheduling for food scheduling in the kitchen
e Fitting data science algorithms for order time estimation
e Users will be able to place orders remotely.
e Dividing the orders into kitchen i-e main queue will be divided into sub-queues
Group Members:
‘Syed Muhammad tbtisam
(1190422@nu.edu.pk)
Supervisor:
Dr. Muhammad Arshad Islam
Co-Supervisor:
Dr. Khubaib Amjad
(1190680@nu.edu.pk)
FASTPANDA
A Smart Food Ordering app that manages Kitchen Tasks using
Food Scheduling Algorithms and provides highly accurate
Order Preparation Time to Customers using Machine Learning
Algorithms
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MMI Model Time Fatimation :
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ed Talha Rizwan (191-0652)
Muhammad Anser Qureshi (19i-0680)
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Out Of Ten — An E-Commerce product reviewing website
Out of Ten is a website where reviews related to products are available. Users will choose their
product category. Then, they will enter the product name, and review regarding that product will
be displayed using data visualization in two ways, either positive or negative or neutral as well
aspect-based review will also be generated. Online reviews have been shown to have a
considerable impact on consumers attitudes regarding the goods being reviewed as well as their
propensity to buy a product or subscribe to a service.
The data to generate the review will be scraped from reviews of the product from you-tube,
videos, comments beneath that video, from websites and from already available amazon related
products reviews data. The data gathered will undergo pre-processing, transformation and
modelling. Doing sentiment-based analysis tools and techniques that will be applied to them to
generate correct reviews for that product.
GROUP MEMBERS SUPERVISOR
Uswa Nasir 191-0534 Ms. Noor UI Ain
Qurat Ul Ain 191-0685
Meshal Cheema 191-1977
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purchasing process by providing concrete feedback after evaluating online sources.
Flow Diagram
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Product Selection bata scraping i Technology Used:
React, MongoDB, Nodejs, NLTK, Hugging
Transformers
Supervisor Name:
Ms. Noor UI Ain
Group Members:
3 Uswa Nasir (i19 - 0534)
+ Website Development.
“praatanton Qurat UI Ain (119 - 0685)
Meshal Cheema (i19 - 1977)
Tools and Technologies
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Qissa Suna
An Urdu story telling Android application focused on using Text to Speech Al technology for kids.
Parents must first create an account, and can use their credentials to login to the Dashboard,
which shows all the PDFs they upload, as well as pre-provided stories to listen to.
After uploading a story, they will be prompted to select the voice they wish to assign to the story’s
speaker, which will be sent to a Text to Speech model to convert the story text into a the provided
voice.
Parents can also upload their own voices, which would be extended by another Machine Learning
Voice generation model to be used as a voice in stories that they would upload.
Muhammad Zahid 191-0469
Syed Abdullah Nasir 191-0527
Hamza Nasir 191-0700
Mr. Saad Salman
Android application to convert
story text into a narration
in your voice
PROJECT ARCHITECTURE
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TOOLS AND TECHNOLOGIES USED
Technology Used:
React Native, Flask, MongoDB, Python,
PyTorch
Supervisor Name:
Mr. Saad Salman
Group Members:
Muhammad Zahid (i19 - 0469)
Abdullah Nasir - 191-0527
Hamza Nasir - 191-0700
ATIONAL UNIVERSITY | lk
Out Of Ten — An E-Commerce product reviewing website
Out of Ten is a website where reviews related to products are available. Users will choose their
product category. Then, they will enter the product name, and review regarding that product will
be displayed using data visualization in two ways, either positive or negative or neutral as well
aspect-based review will also be generated. Online reviews have been shown to have a
considerable impact on consumers attitudes regarding the goods being reviewed as well as their
propensity to buy a product or subscribe to a service.
The data to generate the review will be scraped from reviews of the product from you-tube,
videos, comments beneath that video, from websites and from already available amazon related
products reviews data. The data gathered will undergo pre-processing, transformation and
modelling. Doing sentiment-based analysis tools and techniques that will be applied to them to
generate correct reviews for that product.
GROUP MEMBERS
UswaNasir 191-0534
Qurat UlAin 191-0685
Meshal Cheema 191-1977
SUPERVISOR
Ms. Noor UI Ain
A product Reviewing Ecosystem to facilitate the customers during the product
purchasing process by providing concrete feedback after evaluating online sources.
Flow Diagram
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Products Selection Data Scrapping Technology Used:
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sonpectons ——WhBelomant_——‘enintnit Balaban Transformers
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timeline Group Members:
[ March-Apritzoxs Uswa Nasir (i119 - 0534)
+ Feature Selection + Aspect Based
+ Selection of NLP Review
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Qurat UI Ain (i19 - 0685)
Meshal Cheema (i19 - 1977)
Tools and Technologies
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Quran: E-Teacher
Quran: E-Teacher mobile app is being made, whilst keeping the perspective of new learners and
the learners that want improvement in their pronunciation. There are two views of this app
Learner View and Admin View — the former is for the learners to use the features provided by our
app, and the admin view is for an owner to update features and add new features to the app.
Features include:
Quran Recitation: The user can recite any surah/ayah of his choice. Users can also enable listening
mode by clicking on listen to recitation. The user can also see the translation by selecting the
translation button above.
Knowledge Evaluation: The user can evaluate his Islamic knowledge by Taking quizzes and can see
where he stands in the Global Board.
Mistake Detection: The user will record ayah in his voice and our ML model will identify and
highlight the recitation mistakes and give the user proper feedback with the correct
pronunciation.
Manage Profile: The user can manage his profile i-e: Font-size, Theme, Profile pic, email address
and name.
OBJECTIVE
To build a mobile application that can identify and
help you rectify mistakes from your recitation.
PROJECT FLOW
F iene Technology Used:
f patecton _ _ Python, React-Native, TensorFlow, GitHub,
ie alle BY] We] fal Huawei Cloud, Firebase, Flask
py, ——~Provida correct “i Cameras SMa Supervisor Name:
\. 2 ; Ms. Noor ul Ain
[x Group Members:
vig etakes Minhal Zafar (119 - 0510)
TIMELINE _ Hyder Ali (i119 - 0703)
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