SkillPies
Quang Dong Nguyen
Course ParticipationBravely participating in 2 courses
Project ParticipationBravely participating in 2 projects
RepliesActively replying in 7 comments
| Team's Name | Fast Tracker |
| Team's Leader | Quang Dong Nguyen |
| Team's Members | Wilford Nguyen |
| What has been completed | Project presentation ( I had already contacted my TCS mentor Rish for further clarification of the investment plan for the slide) + Demo (1st part, as I am preparing for the second part which is integrating it into a dashboard, and film it for the demo). |
| Two-Week Plan (description) | Finalise pitch deck & investment plan for sharks |
| * Ten Week Plan + Gannt Diagram (assign responsibilities) | Improve on product demo |
| Major Problems | Need more team members who can help with Python code |
| Name of Academic Mentor | I am not sure about this, Tomas & Rhys |
| Name and contact of Industry mentor | Rish from the TCS |
| Day and time of your weekly meeting with an academic mentor | no formal meeting time, only contact via email or phone |
| Confirmation that you have you updated the project tracker (for 02-06/12) | Yes |
| Link to the current version of your pitch. | https://www.canva.com/design/DAGT3_AK8sc/kuSuFZIQcGBYQNH6krSXrA/edit?utm_content=DAGT3_AK8sc&utm_campaign=designshare&utm_medium=link2&utm_source=sharebutton |
Hi, since I cannot access the reservation link. I will just provide the detail here:
Yes, I am coming for the excursion on next Monday.
Thanks Tomas! Yes, I will do it.
Hello, Tomas.
I have an idea for next week's presentation. The idea is to focus on building an automated Python dashboard using Streamlit that leverages the Gemini API to extract generative insights from a set of Amazon product reviews. Users that use this dashboard only need to provide a link to the Amazon items they are interested in, and the output will be a visualisation dashboard with generative insights created underneath it summarizing what the product is about and how it may be improved. As an example,
- Input: a link to the Amazon products.
- Output: Visualisation dashboard alongside with generated insights on the given products. The final product will look like a comprehensive analytical report without a touch of manual analysis.
- Skill can be learnt through this project: Advanced Visualisation with Python (Seaborn, Pandas, etc), Web Scraping (Oxylabs API), Generative Insights (Gemini AI API), Sentiment Analysis (NLTK, TextBlob), Deployment (Streamlit).
Hi everyone, as I am learning concepts of React, I found a very interesting note that I want to share with everyone on which topic should you focus on for React.
Yes, I'm in too
Quang Dong Nguyen
Github: Quang2003-SpicyCarrot