This project develops a high-speed filtering engine using DistilBERT to categorize SMS and email communications. The model is optimized for low-latency inference, allowing it to process incoming messages in real-time. By training on diverse corpora of ham and spam, the system learns to identify morphological variations and adversarial tactics used in modern spam. The outcome is a scalable security layer for communication service providers and enterprise mail servers, providing high precision in identifying malicious links and fraudulent content.
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AI / ML Projects, Artificial Intelligence Projects, Natural Language Processing
Real-Time Spam Detection Transformer Model for SMS and Email Filtering
Original price was: ₹6,999.00.₹3,999.00Current price is: ₹3,999.00. inc GSTs*
Evolving obfuscation techniques used by spammers frequently bypass traditional keyword-based and heuristic filters. There is a pressing need for robust, real-time filtering models that utilize deep contextual understanding to distinguish between legitimate communication and increasingly sophisticated phishing or spam campaigns.

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