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Vara Ali

FAST · 2023 · i19-0502

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Phone

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GitHub

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Academic

Program

BSCS

CGPA

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Year

2023

Education

SEECS

Address

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DOB

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Career

Current role

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Target role

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Skills

Tensorflow, Keras, Flask, Flutter, React, Firebase, Roboflow, PyTorch, Colab, OpenCV, NumPy, Computer Vision, Deep Learning

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.

Vara Ali (i19 - 0502)

Group Members:
Muhammad Saqib (i19 - 0494)
Vara Ali (i19 - 0502)

Supervisor Name:
Dr. Atif Jillani
Dr. Kashif Sagher (NESCOM Supervisor)

Technology Used:
Tensorflow , Keras , Flask , Flutter , React ,
Firebase , Roboflow , PyTorch , Colab

AUTO INSPECT
AUTOMATED INSPECTION OF SURGICAL INSTRUMENTS
GROUP MEMBERS
Vara Ali i190502
Muhammad Saqib i190494
SUPERVISOR
Dr. Atif Jillani
Dr. Kashif Sagher (NESCOM Supervisor)
Industrial Collaborator :- Dr. Frigz International

PROJECT FEATURES
Development of prototype machine for automated image acquisition
Classification of surgical instruments as faulty / non-Faulty
Indicating the type of fault i.e., cracks , pores , corrosion, tucks and scratches etc.
Web Interface for displaying quality related stats in form of dashboard

PROJECT ARCHITECTURE
Industrial Setup with Conveyor Belt Vision Unit
Computational Unit
Web Interfaces Stats Visualizations & Dashboards
Data Storage Business Decision & Analysis
Computer Vision based Algorithms
Image Processing & ML Models

PROJECT TIMELINE
JAN - FEB
- Dataset generation for other two type of surgical instruments
- Incorporating all the images captured to devise an algorithm capable of classification
MAR - APR
- Complete Web Interface with back-end & cloud storage integrated
- Development & deployment of prototype machine
MAY - JUN
- Dataset generation for scissor along with necessary pre-processing
- Applying computer vision algorithms to classify all the scissors correctly
JULY - AUG
- Applying computer vision algorithms to indicate the type , shape and size of the fault
- UI development for the web interfaces & cloud

TOOLS & TECHNOLOGIES
OpenCV
NumPy
React
YOLO

AI enrichment

Vara Ali is a BSCS student who collaborated on an automated inspection system for surgical instruments using computer vision and machine learning. The project involved developing a prototype machine, classifying faults, and creating a web dashboard for quality statistics.

Skills (AI)

["Tensorflow", "Keras", "Flask", "Flutter", "React", "Firebase", "Roboflow", "PyTorch", "OpenCV", "NumPy", "YOLO", "Computer Vision", "Machine Learning", "Web Development"]

Status: ai_done

Provenance

Source file: FAST - School of Computing -Graduate Directory-2023.pdf
From job #14 page 335
Created: 1778169248