AMAZON AI ASSISTANT

Amazon hackon submission for team SaaS

Futuristic Shopping Experience with Generative AI for Amazon

Description

This project aims to create a futuristic shopping experience on Amazon using generative AI. The primary goal is to provide personalized shopping suggestions based on user chat interactions and preferences.

Table of Contents

• Features
• Architechture
• UI Design
• Wireframe
• Installation
• Contributing

Features

• Personalized Filters

• Real-time Image Recognition

• Recommendations Based on User Behaviour

• User Feedback Integration

• Predicting Product Availability

• Real-time Delivery Tracking via Chat

Architechture

UI Design

Wireframe

Installation

To set up this project on your local machine, follow these steps:

git clone https://github.com/anushkamandal25/Amazon_Hackon.git

cd Amazon_Hackon

#windows
python -m venv venv
venv\Scripts\activate

# macOS
python3 -m venv .venv
source .venv/bin/activate

pip install -r requirements.txt

python manage.py makemigrations

python manage.py migrate

python manage.py createsuperuser
#Enter username, email,password

python manage.py import_csv_data

python manage.py runserver   

Social consequences

• Customer Loyalty:

Elevated satisfaction and engagement foster long-term customer loyalty.

• Enhanced User Experience:

Personalized filters and recommendations elevate the shopping experience.

• Higher Conversions:

Improved relevance and persuasion lead to increased purchases.

• Efficient Operations:

Forecasting minimizes out-of-stock issues, optimizing inventory.

• Cost Efficiency:

Scalability and resource optimization result in cost savings.

Outlook

• Continuous Evolution:

Our solution can adapt to changing customer preferences and market dynamics using modular architecture, ensuring relevance in the long term.

• Cross-Platform Integration:

Integration opportunities with various e-commerce platforms and channels broaden business reach.

• Global Expansion:

Scalability supports expansion into new markets and regions.

• Partnership Opportunities:

Collaboration with third-party vendors and services can further enrich the shopping experience.