Faris Khan
FAST
· 2020
·
i16 - 0414
Email
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Phone
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LinkedIn
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GitHub
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Academic
Program
BS Electrical Engineering
CGPA
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Year
2020
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
Raspberry Pi, Python, Arduino
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.
Blind See A very affordable system made for visually impaired people consisting of main 2 products, a headgear which is equipped with a camera that is used to convert text to audio so that the visually impaired can read and a smart stick equipped with sensors and hap-tic feedback that will help the user avoid obstacles and changes in elevation so that they will know their surroundings. The products are not only helpful for blind people but can also be useful for low sighted and aged individuals. The idea behind this was that in Pakistan or in fact in the entire world there are no devices or gadgets in the market for the visually impaired. Even if they do exist they are extremely expensive and difficult to come by. So we as electrical engineers decided to design and develop a cheap and easy system for blind people that would assist them in their day to day tasks. Technology Used: Raspberry Pi, Python, Arduino Supervisor Name: Dr. Mukhtar Ullah Group Members: Mohammad Salman Hussain (i16 - 0462) Faris Khan (i16 - 0414)
AI enrichment
Faris Khan is an Electrical Engineering graduate who developed an affordable assistive system for the visually impaired using Raspberry Pi, Python, and Arduino. The project involved creating a text-to-audio headgear and a sensor-equipped smart stick with haptic feedback to aid navigation.
Skills (AI)
["Electrical Engineering", "Raspberry Pi", "Python", "Arduino", "Embedded Systems", "Sensor Integration", "Product Development"]
Status: ai_done
Provenance
Source file: Graduate Directory FAST School of Engineering - 2020 (Final) (1).pdfFrom job #20 page 75
Created: 1778170236