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adithya-s-k
Handwritten Digit Recognition
Project Request
| Field | Description |
|---|---|
| About | Handwritten Digit Recognition |
| Github | Nabanita29 |
| [email protected] | |
| Label | Project Request |
Define You
- [x] GSSOC Participant
- [x] Contributor
Project Name Handwritten Digit Recognition
Description The goal of this project is to develop a machine learning model using the k-nearest neighbors (KNN) algorithm for handwritten digit recognition. The model will be trained on the MNIST dataset, which contains a large collection of labeled handwritten digits. The project aims to build a user-friendly web application that allows users to input handwritten digits, and the model will classify and recognize them accurately.
Scope The project will involve the following tasks: Data preprocessing: Transforming the MNIST dataset into a suitable format for training the model. Model development: Implementing the KNN algorithm using a machine learning library (e.g., scikit-learn) and training the model on the preprocessed data. Evaluation and optimization: Experimenting with different values of k and evaluating the model's performance using accuracy and other relevant metrics.
Timeline The project will be made withing 2 days of being assigned
Hello, I have developed a Real-Time Indian Sign Language Recognition system using Machine Learning algorithms, achieving an accuracy of 94%. Given my expertise and experience in this area, I believe I am well-suited to take on tasks related to this project. Therefore, I kindly request to be assigned to this.
Hi @adithya-s-k @miraj0507 I would like to work on this. Please assign this issue to me
