Ali Raza
FAST
· 2019
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i19 - 1660
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
2019
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
Python, openCV, Colab, Streamlit, Visual Studio, pytorch, NLP, Generative Adversarial Neural Networks
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.
IntelleTect IntelleTect is a web application that takes in natural input and generates a floor plan according to the specifics given to it by the user. It contains a user interface which interacts by asking the user for his/her login info also allowing to register, the user can then give voice input in natural language which is interpreted by the app and sent to the backend model. The backend model generates the structure of the floor plan also giving the option to add textures and designs to the user to add toad onto the floor plan as preferred. The output is displayed onto the front end. The user is also allotted a chance to store/save the generated output in the maintained database and can access it in the future if needed. Features include: • A user-friendly web application to interact with the user. • Voice operated and integrated with NLP techniques to understand complex inputs. • Ability to store and retrieve the generated house plans according to users’ needs. • Ability to update prompts to edit the house generated for a new output. INTELLECTECT Automatic House Design From Linguistic Descriptions INTRODUCTION A web application that uses linguistic or textual descriptions to generate a 2D house floor plan using Generative Adversarial Neural Networks WORK FLOW DIAGRAM Voice Input -> Text Input -> Graph Parser One bed room with a washroom. A kitchen and a dining lounge. Output -> Texture Generating GAN -> GCN for layout Data Evaluation Sept-Oct -> Model Training Nov-Feb -> Front End March - April Scene & text parsing Nov -> Model Testing March TECHNOLOGIES Python, openCV, Colab, Streamlit, Visual Studio, pytorch SUPERVISOR Ms. Noor ul Ain GROUP MEMBERS Momin Shahzad i191652 Ali Raza i191660 Mohammad Umer i191787 Technology Used: Python, openCV, Colab, Streamlit, Visual Studio, pytorch Supervisor Name: Ms. Noor ul Ain Group Members: Momin Shahzad (i19 - 1652) Ali Raza (i19 - 1660) Muhammad umer (i19 - 1787)
AI enrichment
Ali Raza is a BSCS graduate who contributed to a final year project involving a web application for generating floor plans from natural language inputs. The project utilized Python, PyTorch, and GANs to process voice and text data into 2D house layouts.
Skills (AI)
["Python", "PyTorch", "OpenCV", "Streamlit", "NLP", "GANs", "Web Development", "Visual Studio"]
Status: ai_done
Provenance
Source file: FAST - School of Computing -Graduate Directory-2023.pdfFrom job #14 page 503
Created: 1778140213