| Proj No. | A2022-251 |
| Title | E-learning on Deepseek AI Chatbot |
| Summary | The pace of advancements in the AI space is indeed proceeding at an unprecedented speed. In just over a week, the release of the DeepSeek-R1 LLM model has shaken the AI world with its impressive accuracy that is on par with established models and yet created at a steep fraction of the typical cost. For example, a DeepSeek chatbot can be built in Python. Briefly, Streamlit is used for the frontend, while on the backend the LLM model that is powering the app’s response is made possible through API calls to the DeepSeek model hosted in Snowflake. E-learning has gone from a niche type of teaching for techy subjects to being a preferred, growing and almost necessary way to teach EVERYTHING. Technology is expanding and people’s need and desire to learn on their own time and at their pace is making e-learning the goal for many companies. This project is to address the above-mentioned issue by developing an interactive learning software and/or hardware for the topic. The project is for Semester 2 to be completed within 2 semesters. The platform for the E-learning environment is highly flexible. You could use excel with power point with embedded equation. Or it can be developed using HTML, Java, or web programming languages. You may also use Netbeans IDE, Moodle or similar platform. Or you could implement in Cadence Virtuoso, ADS, Matlab. For hardware, you can build simple circuit using off-the-shelf components to help student to see, touch and learn to make education interesting. |
| Supervisor | A/P Boon Chirn Chye (Loc:S2 > S2 B2B > S2 B2B 66, Ext: +65 67905958) |
| Co-Supervisor | - |
| RI Co-Supervisor | - |
| Lab | Project Lab (Loc: S2-B4a-01/02) |
| Single/Group: | Single |
| Area: | Smart Electronics and IC design |
| ISP/RI/SMP/SCP?: |