Pakistani Cloth Classifier Using Deep Learning

With the need of today, we are interested in developing an android app that will make our lives easy and save our precious time. With the help of the Pakistani Cloth, Classifier using the Deep Learning app one will be able to hire the best and most experienced a tailor for thei

Project Title

Pakistani Cloth Classifier Using Deep Learning

Project Area of Specialization

Artificial Intelligence

Project Summary

With the need of today, we are interested in developing an android app that will make our lives easy and save our precious time. With the help of the Pakistani Cloth, Classifier using the Deep Learning app one will be able to hire the best and most experienced a tailor for their need smartly. If you are a professional worker with experience then your work can add to your profession and make money by providing your tailoring services. Pakistani Cloth, Classifier using the Deep Learning app recommend items that a user is likely to be interested in and learn more about user preferences and constraints. This project is based on improving the existing recommendation systems and generating more accurate recommendations. Pakistani Cloth, Classifier using the Deep Learning app automate the current manual tailoring system and maintain a searchable customer, and product database, maintains data security and user rights, and also enable customers to send their measurements to their tailors for their clothes to be made.

Project Objectives

• It's Recommended that the Pakistani Cloth Classifier use deep learning. Pakistan Culture classifier and Cloth Recommender.
• Automate the current manual tailoring system and maintain a searchable customer, and product database, maintain data security and user rights.
• To enable customers to send their measurements to their tailors for their clothes to be made. 
• To provide information about the cost, the fabric type, the urgency at which a customer wants the dress finished, the type of material to be used, and quantity in terms of pairs needed.
• To compute the total cost depending on the selected fabric, type of material, quantity, and duration and avails that information to the customer.
• To enable report generation: it is able to give a report of finished garments to the clients for collection and bookings made, and the administrator is able to view all the customers and their details, finished garments, and all the bookings made.
• To create a data bank for easy access or retrieval of customer details, orders placed, and the users who registered to the system.
• The recommender recommends items to agents based on the recommendation algorithm.
• Each agent evaluates the items based on the agents’ rating algorithm and using the attributes of each item and agent.
• The recorder obtains the results of the rating and evaluation measurements for the recommendation pertaining to such information as precision and recall. 
• The study aims at building a computerized tailoring management system that would be more effective and efficient than the existing manual system and recommend the products based on various Factors Such as location, culture, user demographic data, user behavior data, and product attributes.

Project Implementation Method

Observation

We use this technique to collect information about how the current system operates and its processes. This involves systematically watching and recording the behaviors and characteristics of operations and processes. It gives more detailed and context-related information and can adapt to events as they occur, however, the method may be time-consuming.

Application development life cycle

It is quite difficult to decide which app development methodology will be a great fit for your project. So we need to define the project requirements and evaluate which methodology can address them efficiently and also need a thorough analysis to make sure the project will be accomplished successfully.

In our project, we are adopting a waterfall methodology to develop a Pakistani Cloth Classifier app. It comprises the feasibility study, analysis phase, design phase, coding phase, testing phase, implementation phase, and finally the maintenance phase. The deliverables from each phase are voluminous and are presented to the project sponsor for approval as the project moves from phase to phase. Once the phase is approved by the sponsor it ends and the next phase begins.

Interviews

We will conduct an oral interview whereby I will interview business owners, suppliers, and buyers to get a deeper insight into how the system is going to work. I prefer this method because it gives more information from various interviewees and offers greater flexibility as the opportunity to restructure questions is there, especially in the case of an unstructured interview. It’s preferred because it will provide a closer contact between the users and the developer hence dispelling the probability of the completed system being rejected by users.

Benefits of the Project

Currently, customers have to walk to the tailor shops to get their measurements taken for the tailoring of their garments. Their details are taken and kept in the papers. Customers need to move from their houses to go and check for the clothes whether they're completed or not. This is time-consuming and costly. Due to the manual systems in use, the whole process tends to be slow. Customers too have no prior information on the cost of netting their garments. The project is aimed to automate the tailoring sector which is manually maintained. After the automation, this will mean better services and good keeping of records, data integrity, data security, quick search, and also a paperless environment.

Tailors have a facility to make an offer, update their offer, and can sell a readymade or custom-made dress. A computerized tailoring management system would be more effective and efficient than the existing manual system and recommended the products based on various Factors Such as location, culture, user demographic data, user behavior data, and product attributes.

• Automate the Current Manual Tailoring system to Online.
• Pakistani culture Classifier Recommender App.
• Culture Recommendation.
• Design Recommender.

Technical Details of Final Deliverable

• Model Trained Using Deep Learning to Classify Culture of a Country.
• A high Graphics Card is used.

Final Deliverable of the Project

HW/SW integrated system

Core Industry

IT

Other Industries

Core Technology

Artificial Intelligence(AI)

Other Technologies

Sustainable Development Goals

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com