IoT-Enabled Food Freshness Detection Using Multi-Sensor Data Fusion and Mobile Sensing Interface
Real-time freshness estimation using pH, moisture, and ethanol sensors. Reduces waste and improves safety.
ML/NLP researcher focused on practical AI for low-resource languages.
ML/NLP researcher. Experienced in text classification (sentiment, hate speech, fake news), summarization, and deploying ML apps (Streamlit). Passionate about Urdu NLP and applied AI.
Islamia College University, Peshawar
Foundation in algorithms, databases, and software engineering; senior projects in NLP and ML.
Strings Technologies, Peshawar
Real-time freshness estimation using pH, moisture, and ethanol sensors. Reduces waste and improves safety.
Classical ML with n-gram features for toxic text detection; a strong, simple baseline for English experiments.
Robust toxicity detection across scripts and domains using label granularity and transliteration stability.