Machine learning submission

[adityaaa2511]

Hi!

Here is my final submission for DevClub Summer of Code 2023!

I also wish to apply for the following categories -

• Most Starred Fork
• Best All-Rounder
• Best App submission
• Best Backend submission
• Best Frontend submission
• Best Machine Learning submission

Tasks Done

• App Development
  • Week 1: Learn Flutter and build a UI using Stateful and Stateless Widgets
  • Week 2: Dive deeper into Flutter's Widgets by building ProductTile, Promoted product banners and implementing forms. Make the app dynamic and interactive!
  • Week 3: Communicate with server resources and manage product data using HTTP methods. Enhancing our app's capabilities for seamless product management and smooth data handling
  • Week 4: Implement Firebase user authentication, integrate cloud storage for image handling and explore Stripe for seamless payments
• Backend Development
  • Week 1: Learn how a backend works by analysing a real-world website, and then make your own backend, using raw Python & SQL and use it to create a simple URL shortener
  • Week 2: Setup a Django backend server, and learn database models, rendering templates, user authentication and forms. Bonus: make it production-ready!
  • Week 3: Convert your Django backend into a REST API, and learn about function based views, JWT authentication and documentation with Postman. Bonus: make it enterprise-grade!
  • Week 4: Deploy your Django project on Microsoft Azure cloud platform, and learn about virtual machines, domain names and HTTPS.
• Frontend Development
  • Week 1: Learn how websites work using DevTools, and then learn how to build a simple static website using HTML and CSS, taking designs from Figma and host it on GitHub Pages
  • Week 2: Use Javascript to create a repository network analyzer consuming the GitHub API, and use Bootstrap to make our previous webpage responsive!
  • Week 3: Learn ReactJS, and make your website better using JSX components and State management. Bonus: improve the code quality too!
  • Week 4: Design pages to render, create, and update products. Fetch this data from a public API and understand the interface using API specs. Learn about status codes, state management, error handling, and much more!
• Machine Learning
  • Week 1: Set up an ML environment to run your code on GPUs, then select and build a price prediction model, and also scrape your own dataset for it from the web.
  • Week 2: Use YOLO to identify and describe items to be sold from the pictures, and fine-tune your Object Detection model using your own dataset
  • Week 3: Develop a model that automatically detects, aligns, and enhances images uploaded by sellers in an online marketplace, using techniques such as image recognition, rotation, and image enhancement
  • Week 4: Develop a chatbot designed for a marketplace website, capable of effectively addressing and resolving buyer queries and complaints, by utilizing a well-organized dataset, NLP frameworks and integration for a seamless user experience

Technologies/Tools/Frameworks used/learnt

Features Implemented

Deployment Link

Demo Video

Personal Details

Name	Aditya Saxena
College	IIT DELHI
Entry No	2022AM11218
Email ID	am1221218@iitd.ac.in
Phone Number	9711366368

[as1605]

Please edit the PR to make the target as best-machine-learning instead of main