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Muhammad Huzaifa

FAST · 2018 · i18-0815

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GitHub

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Academic

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CGPA

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Year

2018

Education

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Address

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DOB

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Career

Current role

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Target role

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Skills

Deep Learning, Pytorch, Solid works, Raspberry Pi, PCB Design, KiCad, ROS, AWS, OpenCV

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.

RAVI BOT AI BASED SHOPPING ASSISTANT
Our robots can provide numerous benefits to shoppers, such as personalized product recommendations, real-time assistance in finding products, and seamless checkout experiences. These robots can also help store owners by optimizing inventory management, reducing labor costs, and providing valuable customer insights. The importance of AI-based shopping assistant robots for future works lies in their potential to enhance the shopping experience for customers, increase efficiency for retailers, and drive innovation in the retail industry. As the adoption of AI technology continues to grow, assistant robots are expected to become increasingly common in retail environments, leading to more streamlined and personalized shopping experiences for customers.
Shopping assistant robots can automate our lives by reducing the time and effort required to complete various shopping-related tasks. Additionally, assistant robots can also provide personalized recommendations and targeted promotions based on customer data, which can further enhance the shopping experience and save customers time by presenting them with relevant products and deals. Overall, assistant robots can help make the shopping experience more efficient and personalized, ultimately leading to a speedier and more convenient shopping experience for customers.

SUPERVISOR
Dr. Muhammad Tariq
MEMBERS
Ahmad Naveed 19i-0837
Saad Mahboob 19i-0846
Muhammad Huzaifa 18i-0815

RAVI BOT
AI BASED SHOPPING ASSISTANT ROBOT
OVERVIEW
SHOPPING CENTER OWNERS OFTEN HAVE TO HIRE A LARGE WORKFORCE TO PERFORM MONOTONOUS AND REPETITIVE TASKS, SUCH AS DIRECTING CUSTOMERS TO SPECIFIC ITEMS, RESULTING IN MORE EMPLOYEES RECEIVING A SHARE OF THE PROFITS. ADDITIONALLY, HUMAN ERRORS CAN OFTEN RESULT IN A SHOPPING EXPERIENCE THAT IS BIASED TOWARDS ONE GENDER OVER ANOTHER. TO ADDRESS THESE CHALLENGES, WE ARE EXCITED TO INTRODUCE RAVIBOT - YOUR PERSONAL ROBOTIC SHOPPING ASSISTANT LOADED WITH CUTTING-EDGE AI TECHNOLOGY. RAVIBOT IS DESIGNED TO MAKE YOUR SHOPPING EXPERIENCE SEAMLESS AND ENJOYABLE, FROM OFFERING PERSONALIZED PRODUCT RECOMMENDATIONS TO HELPING YOU NAVIGATE THE STORE WITH EASE. RAVIBOT IS HERE TO ASSIST YOU EVERY STEP OF THE WAY.
WORK FLOW
GREET CUSTOMERS WHERE IS "FOOD SECTION" LOCALIZATION NAVIGATION PLEASE FOLLOW ME HERE YOU ARE
BLOCK DIAGRAM
MIC CAMERA MAP Building / Localization Controller Amplifier Control Circuit MOTORS Proximity Sensor Customer ID with Preferences Hello AWS
TOOLS USED
KiCad ROS SOLIDWORKS AWS OpenCV

Technology Used:
Deep Learning (Pytorch), Solid works, Raspberry Pi, and PCB Design.
Supervisor Name:
Dr. Muhammad Tariq Khan
Group Members:
Ahmed Naveed (i19 - 0837)
Saad Mahboob (i19 - 0846)
Muhammad Huzaifa (i18 - 0815)

AI enrichment

Muhammad Huzaifa is a student who contributed to a capstone project developing an AI-based robotic shopping assistant named RAVI BOT. The project involved integrating hardware components like Raspberry Pi and sensors with software technologies including ROS, OpenCV, and PyTorch to create a navigation and recommendation system.

Skills (AI)

["ROS", "OpenCV", "PyTorch", "SolidWorks", "Raspberry Pi", "PCB Design", "KiCad", "AWS", "Deep Learning", "Robotics"]

Status: ai_done

Provenance

Source file: FAST - School of Engineering -Graduate Directory-2023.pdf
From job #15 page 67
Created: 1778113799