2024-25:winter:w25-listing
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2024-25:winter:w25-listing [2024/08/26 19:19] – baljko | 2024-25:winter:w25-listing [2024/08/31 18:03] (current) – [Mentor/Mentee Matching Tool] vashistp | ||
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- | ==== TEMPLATE ENTRY - PUT PROJECT | + | ==== Mentor/ |
- | **[added YYYY-MM-DD]** | + | Added on Aug 27, 2024 |
- | **Course:** | + | Course: { EECS4080} |
- | **Supervisor:** NAME | + | Supervisor: |
- | **Supervisor' | + | Supervisor' |
- | **Project Description: | + | Project Description: |
- | lorem ipsum... | + | |
- | **Required skills or prerequisites: | + | 1. Problem Statement |
- | - pre-req | + | Effective mentorship is crucial for personal and professional growth, but matching mentors and mentees can be challenging. A manual process, though effective, is often time-consuming and inefficient. |
- | | + | |
- | **Recommended skills or prerequisites:** | + | 2. Project Objectives |
- | - recommended skil/ | + | Objective 1: The tool creates groups of 15-20 mentees with similar interests and diverse backgrounds. |
+ | Objective 2: The tool automates the matching of mentors and a group of mentees based on availabilities, | ||
+ | 3. Methodology | ||
+ | Data Collection: Past data (if any). Develop surveys for mentors and mentees to gather detailed information about their interests, goals, and passions. | ||
+ | Matching Algorithm: The algorithm will likely utilize clustering techniques to match mentors and mentees effectively. | ||
+ | 4. Summary: | ||
+ | This project aims to create a tool that will automate the process of forming groups of mentees and assigning mentors to each group, making it faster and more efficient than the current manual method. The tool will consider factors like schedules, interests, and passions to create groups of 15-20 mentees, each with a mentor. It will also ensure that these groups are diverse, including students from different academic programs, genders, and backgrounds, | ||
+ | By automating the group creation and mentor assignment process, the tool will save time and enhance the quality of mentorship experiences. Students will benefit from interacting with peers who have similar passions but different perspectives and experiences, | ||
- | **Instructions:** | + | Required skills or prerequisite courses: |
- | //state how you wish to receive inquiries of interest// | + | |
+ | • Web development (applying OOP design, design pattern, and SOLID principles in developing backend API using Python Flask). | ||
+ | • Data analysis using Python frameworks and libraries (pandas, NumPy, seaborn, matplotlib, statsmodel). | ||
+ | • Full-stack development: | ||
+ | o Front-end: | ||
+ | o Back-end: | ||
+ | • DBMS: Database design and using NoSQL/SQL databases in web development. | ||
+ | Recommended skills or prerequisite courses: | ||
+ | |||
+ | Research and statistics skills | ||
+ | Natural Language processing | ||
+ | Generative AI | ||
+ | |||
+ | Instructions: | ||
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2024-25/winter/w25-listing.1724699941.txt.gz · Last modified: 2024/08/26 19:19 by baljko