AI ML intern
Uptoskills
01.2026 - 04.2026
- Developed deep learning models for surveillance and anomaly detection, enhancing detection accuracy and reliability.
- Implemented object tracking systems utilizing deep oc-sort and bot-sort methodologies.
- Built speed-based suspicious activity detection system to identify and respond to abnormal motion patterns in real-time.
- Designed license plate detection pipeline with conditional blurring based on event detection.
- Created structured audio datasets for model training, including 40 vehicle and 80 human sound clips, facilitating improved model performance.
- Generated waveform and spectrogram visualizations to improve training quality of models.
- Performed data preprocessing, feature engineering, and model evaluation using Python libraries.