| dc.contributor.author | Muhammad Haris Awan, 01-134171-095 | |
| dc.contributor.author | Shehzad Ahmed, 01-134171-071 | |
| dc.date.accessioned | 2021-01-11T02:18:28Z | |
| dc.date.available | 2021-01-11T02:18:28Z | |
| dc.date.issued | 2020 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/10749 | |
| dc.description | Supervised by Ms. Iqra Javed | en_US |
| dc.description.abstract | Humans have evolved over a period of thousands of years to get where we stand today, over the course of time we have invented machines and tools to bring ease to our lives. The substitution of human activity by machines is not centuries old. But these machines are now handling more than just manual labour. They are slowly encompassing all sorts of working fields. To put an example, we are seeing artificially intelligent trained systems that can read an X-ray as efficiently as a qualified physician or perhaps even better if the model is trained well enough with sufficient data. Computer being one of the greatest inventions has evolved in just a century. We are now trying to deploy intelligence and consciousness artificially into the machine so that it can function and make decisions with minimal human input. The field of AI has evolved over time into many subcategories like ML, NLP, Deep learning, Robotics, Pattern Recognition, Information Extraction etc. Personality Detector is based on both AI and human psychology. It uses the subcategory of AI which is Machine Learning and NLP. It assists in analyzing and predicting an individual’s personality based on how they communicate and respond. The domain of this application is currently focused on recruitment process of an organization, but there are many other uses of Personality Detector which can help in many other ways as per the requirement. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Bahria University Islamabad Campus | en_US |
| dc.relation.ispartofseries | BS (CS);P-8982 | |
| dc.subject | Computer Science | en_US |
| dc.title | Personality detector | en_US |
| dc.type | Project Reports | en_US |