Shariq Waseem
FAST
· 2020
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i16 – 0257
Email
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Phone
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LinkedIn
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GitHub
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Academic
Program
BSCS
CGPA
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Year
2020
Education
SEECS
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DOB
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Career
Current role
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Target role
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Skills
Java, Python, PyTesseract, TensorFlow, Keras, Firebase, Android Studio, Flask Server, Image Classification, Image Localization, Image Processing, OCR
Verbatim text
The exact text the LLM saw on the page (or the booklet text from the old import).
This is what powers semantic search.
Smart Bill Manager Smart Bill Manager or as we call it ‘BillMan’, is a solution which uses AI to digitize the process of traditional Bill Management. The aim of BillMan is to get rid of the hassle of manually storing and saving bill information, and provide a way to scan, extract information, store and manage bills. BillMan android app is being made, whilst keeping perspective of everyday users who come across bills in their daily lives. These users are either general public or employees of a business who deal with bills. The users will be able to securely authenticate into the app after which they will capture/upload bill images of pre-defined categories (PTCL, IESCO (Wapda), Sui Gas). The subsequent bill image is passed onto the backend AI Server which uses different techniques to extract important text from the image, and sends it back to the app to display it to the user. The text along with the image is saved into database which the users can later view, update or delete as they wish. The app also allows the users to analyze past bill by viewing different kind of stats related to it, and also compare the bills. Features include: Capturing/Uploading certain bill image to app and sending that image to AI server which uses Image Classification, Image Localization, Image Processing and OCR to extract text from image. Correcting/Verifying the extracted text and storing it along with the image to cloud database. Viewing, updating, deleting, and sharing the bill information. Viewing, analyzing and comparing saved bills. Technology Used: Java, Python, PyTesseract, TensorFlow, Keras, Firebase, Android Studio, Flask Server (PyCharm) Supervisor Name: Dr. Muhammad Adnan Tariq Group Members: Shariq Waseem (i16 – 0257)
AI enrichment
Shariq Waseem is a BSCS student who developed BillMan, an Android application that utilizes AI and OCR to digitize and manage utility bills. The project involved building a Flask backend for image processing and a Firebase-integrated frontend for user data management.
Skills (AI)
["Java", "Python", "Android Development", "Flask", "Firebase", "TensorFlow", "Keras", "PyTesseract", "OCR", "Image Processing"]
Status: ai_done
Provenance
Source file: Graduate Directory FAST School of Computing 2020 (Final Complete) (1).pdfFrom job #23 page 220
Created: 1778144016