Department | Electronics and Communications |
Year | 2022-23 |
Budget | 5850 |
Students | Jainil Rao, Dev lathigra, Purvi Patel, Yash Chauhan, Dharmdeep Jhala |
Mentor | Prof. Alpesh Patel, Prof. Naresh Patel |
Abstract | The field of handwriting detection using machine learning is evolving rapidly, with advancements in accuracy, integration with other technologies, and increased usage in various industries. It is presently used only by a few organizations. To achieve cost-effectiveness, we have taken measures to reduce the cost of the project, such as by using more affordable materials or tools, optimizing processes, or finding ways to minimize waste. These cost-saving measures have been carefully balanced against the project's accuracy requirements to ensure that accuracy is not compromised. |