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 Efficiency: Average search times decreased by 50% compared to manual browsing, significantly enhancing convenience.

 Adoption Rate: High interest among users, particularly those seeking budget-friendly options and tailored suggestions.
Local businesses also expressed enthusiasm about increased visibility through the platform.
Table 1: Accuracy for Algorithms
Algorithm Accuracy (%)
Collaborative Filtering (CF) 92.7
Content-Based Filtering (CBF) 90.8
Hybrid (CF + CBF) 94.5

Figure 3: Graph Comparing Performance Metrics
Future work will focus on expanding the platform’s capabilities, including multilingual support, mobile app development, and
enhanced AI algorithms for deeper personalization. Additionally, partnerships with global e-commerce platforms are planned
to increase the range of available products.
6. CONCLUSION AND FUTURE SCOPE: convenience, savings, and satisfaction. By embracing
The proposed system is a Real-Time Search Engine where innovation and addressing emerging challenges, the
users will find best products among multiple ecommerce platform is well-positioned to shape the future of e-
websites. It will reduce time and money wasted in manual commerce.
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