Problem Statement Title: Conversational Fashion Outfit Generator powered by GenAI

Team Name: 686157-U5D46V3X

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Team members details

Deliverables/Expectations for Level 2 (Idea + Code Submission)

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• Our Project yields a personalized AI-driven fashion outfit generator for Flipkart, offering tailored recommendations based on user history and preferences.
• Integrating real-time trends ensures users stay fashion-forward.
• A conversational interface empowers users to engage and have a seemless experience;
• This will enrich shopping experiences, inspires fashion choices, saves time, and fosters user engagement, ultimately enhancing the Flipkart platform.

Idea behind the solution

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So, the challenge involves creating an advanced Gen AI-powered fashion outfit generator for Flipkart, transforming personalized fashion discovery through natural conversations. This entails understanding nuanced user preferences, involving purchase history, styles, colors, and brands, employing advanced machine learning.

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The complexity increases with real-time recommendation refinement considering user actions like past shopping history and cart activity. The ultimate goal is a seamless fashion experience on Flipkart, combining personalized recommendations with current trends.

Solution statement/ Proposed approach

Enhancing this experience further, our assistive-chatbot, powered by OpenAI APIs, provides real-time assistance, guiding users through the latest trends and answering any questions they have. Seamlessly integrating advanced technology and user-centered design, our platform transforms shopping into a personalized, interactive journey, setting a new benchmark for fashion exploration.

We've developed a user-centric web application that takes fashion discovery to the next level. By leveraging an individual's past purchasing history, our platform offers personalized recommendations that align with their unique preferences.

Use-cases

• Social Media Trend Adaptation

Stay stylish on social media with tailored trend

suggestions for GenZ users.

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• Personalized Shopping Recommendations

Elevate your shopping experience with personalized

product suggestions based on your history.

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• Fashion Prediction using GenAI

Discover your perfect style using GenAI’s predictive

fashion insights from your past choices.

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• Virtual Wardrobe Planning

Effortlessly plan outfits using virtual wardrobe

coordination from your past shopping history.

Limitations

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• Scalability

Our Project struggles with website load, this could be

optimized by adding load balancers.

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• Limited Dataset

We had access to a very minimal data, with availability

of more data, we can improve our model’s performance in

future.

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• Paid APIs

Currently, we are using third-party paid APIs. Dependence

on costly third-party APIs adds financial strain.

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• Third-Party APIs

Building custom APIs is an option, but we had limited

time. In future, we can use tailor-made APIs

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Future Scope

• Initially the project is limited to clothing, it can later be extended to other categories as well

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• Collaborating with brands for personalized clothing collections based on user preferences

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• Partnering with other apps to integrate additional user data for improved personalization

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• Incorporating AR for virtual outfit try-ons and immersive shopping experiences

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Thank You