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DATA-SCIENCE-PROJECT

Here is a highly condensed version that fits perfectly under 300 characters: A full-stack data science project classifying DDoS attacks (HTTP, ICMP, SYN flood) on smart home IoT devices using a Random Forest model (99.81% accuracy) on 40M+ packets. Includes an interactive React/Vite dashboard.

CONTRIBUTERS LIST :

Sahil Kumar 24BSA10001 , Mohammad Arsh Faiz 24BSA10008 , Priyanka singh 24BEY10117

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Here is a highly condensed version that fits perfectly under **300 characters**: A full-stack data science project classifying DDoS attacks (HTTP, ICMP, SYN flood) on smart home IoT devices using a Random Forest model (99.81% accuracy) on 40M+ packets. Includes an interactive React/Vite dashboard.

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