feat: added challenge subm data

Author: Mummanajagadeesh

src/data/hof/origo-robotics-challenge25.json

@@ -0,0 +1,137 @@
+[
+  {
+    "title": "Draw and Collect",
+    "thumbnail": "",
+       "person": "Sharath P Prajith",
+    "roll_no": "B250494CS",
+    "category": "AI/ YOLO/ MEDIAPIPE",
+    "desc": "I have made an interactive physics game that combines...nd physics simulation. The player uses their finger movements,",
+    "youtube": "https://youtu.be/HWySGEWj4Bs"
+  },
+  {
+    "title": "Neon Gesture Game",
+    "thumbnail": "",
+    "person": "Krishna Kumar Jha",
+    "roll_no": "B250946EC",
+    "category": "AI/ YOLO/ MEDIAPIPE",
+    "desc": "Gesture-controlled neon game using Python with MediaPipe Hand Tracking, FaceMesh double-blink reset, and a Pygame-based neon world.",
+    "youtube": "https://youtu.be/_EntJ_PKEUc"
+  },
+  {
+    "title": "ID Card Verfication System",
+    "thumbnail": "",
+    "person": "Prabhu E S",
+    "roll_no": "B251113EC",
+    "category": "AI/ YOLO/ MEDIAPIPE",
+    "desc": "A system that verifies student ID cards using Mediapipe and OpenCV, and also counts the number of students from each year to reduce gate-entry delays during rush hours.",
+    "youtube": "https://youtu.be/vyCyWB_d57A"
+  },
+  {
+    "title": "HoloRig",
+    "thumbnail": "",
+    "person": "Joshua Jacob Thomas",
+    "roll_no": "B250906CS",
+    "category": "AI/ YOLO/ MEDIAPIPE",
+    "desc": "HoloRig is a real-time gesture-controlled holographic interaction system using MediaPipe hand tracking, geometric gesture logic, and 3D/IK simulation to create an intuitive touch-free interface.",
+    "youtube": "https://youtu.be/KTrfagf33zE"
+  },
+  {
+    "title": "Robotic Arm",
+    "thumbnail": "",
+    "person": "Parth Rahate",
+    "roll_no": "B251095PE",
+    "category": "CAD",
+    "desc": "A robotic arm designed by modelling all 8 parts individually using physical measurements and assembling them in Onshape with appropriate mates.",
+    "youtube": "https://youtu.be/Vrn9fNqAl5g"
+  },
+  {
+    "title": "Torque Titan",
+    "thumbnail": "",
+    "person": "Tejas L",
+    "roll_no": "B251267EE",
+    "category": "CAD",
+    "desc": "A crude Robowars combat machine concept featuring dual metallic plates on a wooden support, a rotating blade driven by a geared motor, and dual-side wheels for operation even when flipped. Designed in Onshape with a spur gear mechanism.",
+    "youtube": "https://youtu.be/50bNd-ZoPVY"
+  },
+  {
+    "title": "Robotic Arm",
+    "thumbnail": "",
+    "person": "Mudunuri Harshitha",
+    "roll_no": "B251013ME",
+    "category": "CAD",
+    "desc": "A movable robotic arm designed and modeled in Onshape.",
+    "youtube": "https://youtu.be/eCxAQthc5jk"
+  },
+  {
+    "title": "AT-AT Walker",
+    "thumbnail": "",
+    "person": "Ujjwal Nagar",
+    "roll_no": "B250540CS",
+    "category": "CAD",
+    "desc": "A mechanical design of a 4-legged walker inspired by the Star Wars AT-AT, featuring worm gears, improved leg linkage for natural foot motion, and an attempted universal-joint based turning mechanism, modeled in Onshape.",
+    "youtube": "https://youtu.be/axNsn14iZOk"
+  },
+  {
+    "title": "Metal Fusion x JoJo's Beyblade",
+    "thumbnail": "",
+    "person": "Suraj Kaarthi S",
+    "roll_no": "B251172EE",
+    "category": "CAD",
+    "desc": "A fully custom, lore-accurate Beyblade designed from scratch in Onshape using a wide range of modeling tools, featuring unique unsymmetrical attack-oriented geometry and material customisation, ready for 3D printing.",
+    "youtube": "https://youtu.be/OeUxDtd9n4s"
+  },
+  {
+    "title": "Robotic Arm",
+    "thumbnail": "",
+    "person": "Harshan Kumar S",
+    "roll_no": "B250866ME",
+    "category": "CAD",
+    "desc": "A robotic arm created by combining a tutorial-based base with a self-designed gripper modeled from reference images and assembled in Onshape.",
+    "youtube": "https://youtu.be/UPgMo0hU63U"
+  },
+  {
+    "title": "Light Pattern Based Locker Security System",
+    "thumbnail": "",
+    "person": "Vinayak R",
+    "roll_no": "B251308EE",
+    "category": "Electronics Simulation",
+    "desc": "A locker system that uses a specific light pattern sensed by photoresistors as a verification mechanism. Voltage drops across the sensors are read through Arduino analog pins, with LEDs indicating correctness, an LCD for user interaction, and a button to initiate or lock the system.",
+    "youtube": "https://youtu.be/HHswT3RpOHM"
+  },
+  {
+    "title": "Smart Cricket Stumps",
+    "thumbnail": "",
+    "person": "Kadhirnilan Thirumaran",
+    "roll_no": "B251404EC",
+    "category": "PCB Design",
+    "desc": "An automated bail-detection system using an LDR sensor, ATmega328P, LEDs, buzzer, and Bluetooth, all integrated into a compact two-layer PCB that fits inside cricket stumps/bails. Detects bail movement in under 50 ms with 10-hour battery life and 15 m wireless range.",
+    "youtube": "https://youtu.be/bTTyusuEwNI"
+  },
+  {
+    "title": "PCB for Drones",
+    "thumbnail": "",
+    "person": "Alento George Rajesh",
+    "roll_no": "B250092PE",
+    "category": "PCB Design",
+    "desc": "A drone Power Distribution Board featuring XT60 input with fuse protection, LTC4359-based reverse polarity and surge protection, capacitors for noise filtering, power routing to four ESCs, and an LM2596 buck converter for regulated 5V output, ensuring safe and stable power delivery.",
+    "youtube": "https://youtu.be/OGhGIEOKoA0"
+  },
+  {
+    "title": "ESP-Assisted Typing Guide",
+    "thumbnail": "",
+    "person": "H R Soorya Dev",
+    "roll_no": "B250244CS",
+    "category": "Programming",
+    "desc": "An ESP8266-based typing assistant where the microcontroller connects over Wi-Fi to a Python curses interface. Each character typed in the interactive shell sends a corresponding signal to the ESP, enabling a hardware-linked typing guide system.",
+    "youtube": "https://youtu.be/0UrTfsksWhc"
+  },
+  {
+    "title": "Tic-Tac-Toe Game",
+    "thumbnail": "",
+    "person": "Merin Juby",
+    "roll_no": "B250332EC",
+    "category": "Programming",
+    "desc": "A Python-based Tic-tac-toe game using OpenCV for video processing and MediaPipe for hand tracking, allowing gesture-controlled gameplay through index-finger detection.",
+    "youtube": "https://youtu.be/MeMELc7KIF8"
+  }
+]