AI EmoCare: Transforming Mental Well-Being with Empathy / (Record no. 611638)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01377nam a22001817a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | NUST |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240923095736.0 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 005.1,AZA |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Azam, Ahlam |
| 9 (RLIN) | 125968 |
| 245 ## - TITLE STATEMENT | |
| Title | AI EmoCare: Transforming Mental Well-Being with Empathy / |
| Statement of responsibility, etc. | NC Ahlam Azam, NC Shahzaib Raheel, NC Wajih Ul Hassan. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | MCS, NUST |
| Name of publisher, distributor, etc. | Rawalpindi |
| Date of publication, distribution, etc. | 2024 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 125 p |
| 505 ## - FORMATTED CONTENTS NOTE | |
| Formatted contents note | AI EmoCare is our innovative solution to tackle the pressing issue of mental health challenges in our community. Our aim is simple: we want to use cutting-edge technology to help people dealing with emotional distress, anxiety, depression, and schizophrenia. By harnessing the power of artificial intelligence, we can offer personalized support and timely intervention, lessening the load on mental health professionals while prioritizing the well-being of users. With features like Natural Language Processing and sentiment analysis, we can understand users better, predict potential issues early, and provide tailored coping strategies in real-time With a user-friendly interface and community forums for mutual support, AI EmoCare aims to empower individuals to manage their mental health proactively, fostering a stronger and more resilient society. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | UG BESE |
| 9 (RLIN) | 114271 |
| 651 ## - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME | |
| Geographic name | BESE-26 |
| 9 (RLIN) | 125902 |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Supervisor Dr. Ayesha Maqbool |
| 9 (RLIN) | 125967 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | |
| Koha item type | Project Report |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Permanent Location | Current Location | Shelving location | Date acquired | Total Checkouts | Full call number | Barcode | Date last seen | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Military College of Signals (MCS) | Military College of Signals (MCS) | General Stacks | 09/23/2024 | 005.1,AZA | MCSPCS-479 | 09/23/2024 | 09/23/2024 | Project Report |