Sreepallavi User

I’m a fourth-year Artificial Intelligence student at Manipal Institute of Technology with a strong foundation in computer vision and real-time perception pipelines. I focus on bridging the gap between complex AI models and intuitive, user-centric interfaces, shaped through leadership and hackathon participation.

My work centers on building practical AI systems: Flame Vision for wildfire detection using YOLO and DFAN, Wave to Saut’e for a mess-free, gaze-driven and gesture-based interface with MediaPipe, and a surveillance footage summarization pipeline using YOLO and BLIP. I’m also interested in privacy-by-design deployment, including on-premise, zero data leakage strategies.

I’ve strengthened my skills through hands-on experience and training—an Artificial Intelligence Intern role at Flutura and a Python Programming Intern role focused on automating data processing and building RESTful APIs with Flask. Alongside my technical depth in PyTorch, TensorFlow, OpenCV, and LLM tooling like LLaMA 3.2 with Ollama, I’m driven to ship reliable, low-latency solutions that improve efficiency and interaction reliability.