Finalist
March 2025
12 min read

ShopMart: AI-Powered E-Commerce

Building an intelligent marketplace with personalized recommendations and multi-role dashboards

Team CodeGuard
HackNiche 3.0
The Innovation

What if shopping was as smart as your personal assistant?

An AI-powered marketplace that understands user preferences and delivers personalized shopping experiences

Hybrid Recommendations
User Behavior Analysis
Personalized Experience

Key Features

Hybrid Recommendation System

Combines collaborative filtering, content-based filtering, and context-aware recommendations

User behavior analysis
Product similarity matching
Real-time personalization

Loyalty Program

Comprehensive rewards system with points and personalized discounts

Points accrual
Reward redemption
Tiered benefits

Multi-Role Dashboards

Role-specific interfaces for customers, businesses, and admins

Analytics dashboard
Inventory management
User insights

Technology Stack

Python
scikit-learn
OpenCV
React
PostgreSQL

Our Journey

🎯
85%
Recommendation accuracy
📈
40%
User engagement
💫
3x
Conversion rate

The HackNiche Experience

While we didn't take home the top prize, the experience of building ShopMart taught us invaluable lessons about e-commerce personalization and AI integration. The feedback from judges and fellow finalists helped us refine our vision for the future of intelligent shopping experiences.

Key Learnings

Data quality is crucial for recommendations

We learned that clean, well-structured data is essential for accurate product recommendations and user behavior analysis.

Balance personalization with privacy

Finding the right balance between personalized experiences and user privacy was a key challenge.

Real-time processing matters

Building a system that can process user interactions and update recommendations in real-time requires careful architecture.