Project Title: Create a Simple Indian Sign Language Recognition Model for Words, Characters, and Numbers Project Description: I need a simple machine learning model that can recognize hand gestures representing Indian Sign Language (ISL). The model should recognize characters (A-Z), numbers (0-9), and some basic words (like hello, thank you, sorry, yes, no, love). Key Features: Character Detection (A-Z): Recognize hand gestures for all 26 alphabets. Number Recognition (0-9): Recognize hand gestures for digits 0-9. Word Recognition: Recognize common words in ISL (e.g., hello, thank you, sorry, yes, no). Real-Time Detection: Model should be able to process webcam video in real-time and recognize gestures quickly (under 100ms). Simple Output: The recognized gestures should be displayed as text and optionally spoken aloud (text-to-speech). Deliverables: Trained Model: A trained model that can detect characters, numbers, and basic words in ISL. Model file format: TensorFlow (.h5) or ONNX (for easy deployment). Dataset: If you don’t have a pre-existing dataset, guidance on collecting and labeling gestures for A-Z, 0-9, and a small set of words. Around 100-200 samples per class (character, number, word). Code for Inference: A simple Python or TensorFlow.js script that can: Take a live video feed from a webcam, Recognize the gestures in real-time, and Output recognized text (and speak it out using gTTS or Web Speech API). Documentation: A basic README file explaining: How to run the code, How to use the trained model, Simple instructions for setting up and testing. Skills Required: Basic Machine Learning experience (TensorFlow / Keras / PyTorch). Gesture Recognition or Hand Pose Estimation using models like MediaPipe or HandPose. Real-Time Processing (video or webcam input). Familiarity with TensorFlow.js (optional, if the model needs to be used in a browser). Budget: This is a small project with a limited budget. Please provide an estimate based on basic functionality and a quick turnaround (within 1–2 days). Timeline: 1-2 Days: We need a working prototype or MVP within 1–2 days. The goal is to build something functional with basic accuracy for recognizing a few common gestures, not a fully advanced model. How to Apply: Please provide: A brief summary of your experience with gesture recognition or real-time ML models. Your approach for quickly building the model and achieving real-time recognition. The estimated cost for the project (be realistic, considering the short timeline). If available, links to similar projects or any relevant work.