Aneri Bhavsar

Detection and analysis of 50+ defect parameters using RF-DETR and Qwen 3 8B Vision-Language Model for industrial quality control and monitoring applications.

Developed for the Indian Army - Human, vehicle, helicopter, and animal detection system for border surveillance near PoK using advanced computer vision techniques.

Robot-operated AI vision system for DRDE Gwalior designed for chemical resistance testing through automated color change detection and analysis.

Built a tree detection and instance segmentation tool using YOLOv8-seg, YOLOv11-seg, and Mask R-CNN on UAV and satellite imagery. Annotated data in Roboflow (COCO & YOLO formats) for exact tree mapping. QGIS was incorporated for geospatial analysis, enabling canopy-based tree counting.

Developed a rooftop detection system using YOLOv8s-seg, YOLOv11s-seg, DeepLabV3+ (ResNet50), and U-Net (ResNet50) on satellite imagery. Integrated geospatial analysis to enhance mapping accuracy and support urban planning.

Developed a user-based collaborative filtering recommendation model, leveraging model training techniques to enhance personalized recommendations. Designed and implemented a user-friendly system to improve accessibility and usability.

Built a system that can predict Trauma and cancer using brain and cell images respectively. Via patient symptoms, it tells which disease a particular patient has. The system also includes a chatbot that can answer questions related to medical problems.

Developed a full-featured e-commerce website using Java Servlets with server-side programming, database integration, and responsive web design.