Anas Mirkar

AIML engineering student with a passion for building real-world systems using AI, computer vision, and web technologies. Experienced in designing drone-based platforms, object detection systems using YOLO, and responsive web dashboards. Fast learner with a project-driven mindset, actively improving core skills through hands-on builds and self-learning.

Disaster Response Drone System (Ongoing – NIDAR Competition)

• Designed and built a custom scouting and delivery drone platform using Raspberry Pi and Crossflight FC
• Integrated victim detection using YOLOv8 and real-time telemetry sharing to a command station.
• Built custom GCS (ground control station) UI using React and FastAPI for offline operations.

Real-Time Object Detection API (YOLOv8 + FastAPI)

• Built a Python-based backend that runs YOLOv8 on webcam/video input and returns bounding box data over an API.
• Designed a frontend to view real-time object detection results.

Smart Checkout App (Ongoing -Prototype)

• Designing UI for a mobile app that lets users scan products and self-checkout at supermarkets.
• Explored ML Kit for barcode and product detection.
• Backend planning using Firebase; MVP in progress.

Y4 Quadcopter (Personal Project 02/2025 - 03/2025)

• Designed and built a Y4-configuration quadcopter using a Flywoo F722 PRO V2 flight controller.

• Tuned orientation settings via Betaflight for optimal flight behavior.

• Modified carbon fibre frame and tested multiple prop sizes for efficiency.

• Presented Custom Drones at Local Drone Expo: Showcased self-designed UAVs including a Y4 quadcopter and telemetry-enabled flight system featuring 3D-printed components, custom frame design, and tuned flight dynamics.
• Participant, e-Yantra Robotics Competition – IIT Bombay (2023): Engaged in solving real-world robotics challenges using embedded systems and AI under a competitive, team-based environment.
• Guest Lecturer on Drone Technology (2025): Delivered an introductory session on drone fundamentals, design, and real-world applications to high school students, aiming to inspire early interest in STEM and UAV systems.