readme.md file added

Author: problemsolvewithridoy

README.md

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 # Robotics Hand Simulator using Python and openCV
+
+This project is a hand simulator for robotics applications, built with Python and a number of computer vision libraries. Using the CVZone and Mediapipe modules, the simulator tracks the movement of the user's hand and fingers in real-time, then maps these movements onto a 3D hand model. The OpenCV library is used for image processing and computer vision tasks.
+
+The simulator is designed to be easy to use and customizable. It includes a number of built-in hand poses and gestures, such as a closed fist, open palm, and pointing finger, which can be modified or expanded as needed. The simulator also allows the user to adjust the lighting and color of the 3D model, as well as the camera angle and perspective.
+
+This project is ideal for robotics students, researchers, or enthusiasts who want to experiment with hand tracking and motion control in a virtual environment. With its intuitive interface and powerful tracking capabilities, the simulator is a valuable tool for exploring the possibilities of robotics and human-machine interaction.
+
+let's start...............
+
+To make this project you need to follow this step:-
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+
+
+## Installation
+
+Install package with pip
+
+```bash
+pip install cvzone==1.4.1
+pip install mediapipe==0.8.3.1
+```
+    
+## Deployment
+
+To deploy this project run
+
+```bash
+# Please Subscribe my youtube channel "@problemsolvewithridoy"
+import cv2
+from cvzone.HandTrackingModule import HandDetector
+import os
+import time
+
+# select camera and make a fream
+cap = cv2.VideoCapture(0)
+cap.set(3, 1280)
+cap.set(4, 720)
+
+# make a detector for hand
+detector = HandDetector(detectionCon=0.7, maxHands= 2)
+
+pTime = 0
+
+# for select finger image path
+img_path = "NewFingerPic"
+img_list = os.listdir(img_path)
+
+# for make a finger image list
+hand_img = []
+for i in img_list:
+    image = cv2.imread(f"{img_path}/{i}")
+    hand_img.append(image)
+
+while True:
+    success, img = cap.read()
+    
+    # for flip video capture
+    img = cv2.flip(img, 1)
+
+    # detect hand
+    hands, img = detector.findHands(img)
+
+    # for make FPS
+    cTime = time.time()
+    fps = 1/(cTime - pTime)
+    pTime = cTime
+
+    # for print FPS in video fream 
+    cv2.putText(img, f"FPS:{int(fps)}", (1100, 50), cv2.FONT_HERSHEY_PLAIN, 3, (255,0,0),3)
+
+    if len(hands) == 1:
+        # detect fingers
+        hand_fingers = detector.fingersUp(hands[0])
+        if hand_fingers == [0,0,0,0,0] :
+            img[0:400, 0:400] = hand_img[0]
+        elif hand_fingers == [0,1,0,0,0]:
+            img[0:400, 0:400] = hand_img[1]
+        elif hand_fingers == [0,1,1,0,0]:
+            img[0:400, 0:400] = hand_img[2]
+        elif hand_fingers == [0,1,1,1,0]:
+            img[0:400, 0:400] = hand_img[3]
+        elif hand_fingers == [0,1,1,1,1]:
+            img[0:400, 0:400] = hand_img[4]
+        elif hand_fingers == [1,1,1,1,1]:
+            img[0:400, 0:400] = hand_img[5]
+        else:
+            img[0:400, 0:400] = hand_img[8]
+        
+    elif len(hands) == 2:
+        img[0:400, 0:400] = hand_img[7]
+    else:
+        img[0:400, 0:400] = hand_img[6]
+
+    cv2.imshow("Problem Solve With Ridoy", img)
+    if cv2.waitKey(1) & 0xFF == ord("q"):
+        break
+```
+## Note:You need to store these images in your project folder
+
+![sfs](https://user-images.githubusercontent.com/123636419/232227755-5b919f9b-f34b-414b-8b9b-e086ac0f83a8.PNG)
+## You can follow me
+
+Facebook:- https://www.facebook.com/problemsolvewithridoy/
+
+Linkedin:- https://www.linkedin.com/in/ridoyhossain/
+
+YouTube:- https://www.youtube.com/@problemsolvewithridoy
+
+Gmail:- [email protected]
+
+If you have any confusion, please feel free to contact me. Thank you
+
+
+## License
+This script is released under the MIT License. Feel free to use, modify, and distribute it as you wish. If you find any bugs or have any suggestions for improvement, please submit an issue or a pull request on this repository.
+