Presentation ppt.pptx netigjhgilcte,jlbtejhbio

Personalized AI-Enhanced Alumni Association
Platform
8Th INTERNATIONAL CONFERENCE ON CIRCUIT,
POWER AND COMPUTING TECHNOLOGIES 2025
ICCPCT-2025
Paper ID : 356
B V Raju Institute of Technology

Outline
• Abstract
• Introduction
• Literature Survey
• Existing System
• Problem Statement & Objectives
• Proposed Modules
• Proposed Architecture diagram
• Algorithm Explanations
• Data Flow diagram
• UML Diagrams
• Results & Discussion
• Conclusion & future Enhancement
• References
© BVRIT CSE 2

Abstract
© BVRIT CSE 3
Artificial Intelligence (AI) has transformed alumni networking by enabling personalized
engagement, career support, and lifelong learning opportunities. This research introduces
an AI-driven alumni association platform designed to strengthen alumni-institution
relationships through intelligent automation and tailored interactions. The platform
integrates AI-powered chatbots, predictive analytics, and content recommendation
systems to enhance networking, mentorship, and career opportunities. Additionally, it
addresses key challenges such as data privacy, algorithmic fairness, and ethical
considerations in AI-driven engagement. This paper explores the role of personalized AI in
redefining alumni interactions, evaluates the technical and ethical challenges involved,
and outlines future research directions to develop scalable, responsible, and adaptive AI-
powered alumni platforms.

Introduction
© BVRIT CSE 4
Purpose and Vision:
A web platform to connect BVRIT alumni with current students for mentorship, networking,
and career opportunities.
Community-Centric Design:
Exclusively for the BVRIT Narsapur community with secure, role-based access for students
and alumni.
Comprehensive Features:
Features include alumni directory, job/internship board, event management, communities,
and chatbot assistance.
Technology Stack:
Built using Google Firebase for real-time database, authentication, and scalable backend
services.

Literature Survey
5
Year Author Name(s) Paper Title Research Design
Conceptual /
Theoretical
Framework
Major Theme Future Idea
2025 E. Joseph
Public-Private
Partnerships for
Personalized
Education via AI
Applied Case Study
Adaptive AI
Learning Systems
Scalable
personalization via
AI
Partner models for
alumni learning
platforms
2025 C. Schlicht
AI in Higher
Education:
Transforming
Education Formats
Policy and Format
Evaluation
Innovative AI-driven
delivery models
Personalized
content for alumni
& students
Deploy modular
learning for alumni
upskilling
2025
V. Kambhampati,
R.K. Patel
AI-Enhanced Digital
Literacy: Framework
for HEI and
Workforce
Strategic
Framework Proposal
Workforce-aligned
AI Literacy Design
Preparing alumni
for AI careers
Create alumni
retraining hubs with
AI tech
2025
CVS Babu, M.
Yuvansankar
Personalized
Learning and
Student
Engagement
Theoretical
Framework &
Distance Ed
Analysis
AI for Enhanced
Online Learning
Adaptive
engagement in
digital platforms
Extend platform for
alumni lifelong
learning
2025
L.A. Puthur, M.T.
Karakunnel, V.A.
Menon
CRM Systems:
Impact of AI on
Student Enrolment
Observational (HEI
CRM Case)
CRM + AI for
Relationship
Building
AI in alumni CRM
and communication
AI-powered alumni
lifecycle
management
2024 A.S. Kantudu et al.
Harnessing AI for
Educational
Excellence (BASE
PAPER)
Case Study
(Nigerian HEIs)
AI in Education
Ecosystems
Personalized
outreach to alumni
Real-time feedback
and recommender
tools
© BVRIT CSE

Existing system
• AlmaConnect
A popular alumni engagement platform used by many colleges and universities to
facilitate alumni-student interaction, job postings, and event management.
• Graduway
A global alumni networking platform that offers features like mentorship, directory
access, and career opportunities, primarily for institutional alumni relations.
• LinkedIn
While not institution-specific, LinkedIn enables professional networking between
students and alumni globally, offering features like job listings, messaging, and
profile discovery.
6
© BVRIT CSE

Problem Statement & Objectives
Problem Statement:
1. Lack of a dedicated platform for BVRIT students and alumni to connect and share
opportunities.
2. Existing systems do not offer personalized mentorship and career support.
3. Alumni find it difficult to contribute effectively through mentorship or event
hosting.
Objectives:
1. Create a secure platform for networking, mentorship, and career growth.
2. Offer personalized dashboards for students and alumni.
3. Enable easy posting of opportunities, events, and mentorship programs.
7
© BVRIT CSE

Proposed Modules ( List of Modules)
1. Landing Page Module
- Public access
- Mission, features, and benefits overview
2. Authentication Module
- Role-based login/signup (Student/Alumni)
- Email validation and alumni verification
3. Profile Management Module
- Student Introduction Form
- Alumni Profile Form
- Edit/View profile options
8
© BVRIT CSE

4. Dashboard Module
- Student Dashboard
- Alumni (Mentor) Dashboard
- Personalized content and quick actions
5. Alumni Directory Module
- Search and filter verified alumni
- Detailed alumni profiles
6. Opportunities Module
- Job/internship posting (Alumni)
- Application tracking (Students)
9
© BVRIT CSE

7. Events Management Module
- Event creation and RSVPs (Alumni)
- Event calendar and registration (Students)
8. Communities Module
- Join interest-based groups
- Posts, live chat, member directory
9. Mentorship Module
- Request/accept mentorship
- Track mentee progress and sessions
10
© BVRIT CSE

10. Chatbot Assistant Module
- Navigation help, feature walkthroughs
- Personalized suggestions and FAQs
11. Admin Panel Module
- Verify alumni, manage users
- Monitor content, analytics, and platform health
11
© BVRIT CSE

Proposed Architecture Diagram
12
© BVRIT CSE

Algorithm Explanation
1. User Authentication
• User selects role: Student or Alumni
• If Student:
Enter BVRIT email → Verify @bvrit.ac.in
If valid, proceed to signup → Store in Firebase Auth
Redirect to Student Introduction Form
• If Alumni:
Enter any email → Proceed to signup
Prompt for graduation proof upload
Await Admin Verification
If verified, redirect to Alumni Profile Form
13
2. Profile Creation
• Student/Alumni fills profile form
• Validate inputs (e.g., file types, required fields)
• Save profile data to Firestore DB
• Update user status: "Profile Complete"
3. Dashboard Routing
• On login, check user role from DB
• If Student → Redirect to Student Dashboard
• If Alumni → Redirect to Alumni Dashboard
© BVRIT CSE

4. Student Dashboard Logic
• Fetch personalized data:
• Recommended
alumni/communities/opportunities
• Enable:
- Browse alumni directory
- Register for events
- Join communities
- Apply for jobs/internships
14
5. Alumni Dashboard Logic
• Display mentorship activity and event stats
• Enable:
- View student directory
- Post/manage opportunities
- Create/manage events
- Respond to mentorship requests
- Engage in communities
© BVRIT CSE

6. Alumni Directory Search
• User applies filters (e.g., year, industry)
• Query Firestore using indexed fields
• Return matching alumni profiles
• Allow viewing detailed profile (based on privacy
settings)
7. Opportunity Workflow
• Alumni posts job/internship → Save to DB
• Students view and apply → Application status
stored per user
• Notifications sent for deadline updates/status
changes
15
8. Events Workflow
• Alumni creates event → Form includes RSVP
limit & host info
• Students view events → Can RSVP if not full
• Admin/event host manages RSVPs and
attendance
9. Mentorship Flow
• Student sends request to alumni
• Alumni receives request → Accept/Reject
• If accepted:
- Mentorship status saved
- Enable scheduling/chat
- Progress updates logged
© BVRIT CSE

10. Chatbot Interaction
• User types a query (e.g., “How to join a community?”)
• Bot identifies intent using NLP
• Respond with:
- Navigation help
- Feature walkthrough
- Personalized suggestions (based on user profile)
11. Admin Module
• View pending alumni verifications
• Approve/reject alumni requests
• Manage event moderation
• Monitor overall platform analytics
16
© BVRIT CSE

Data Flow diagram (All Three Levels)
Level
0
DFD
17
© BVRIT CSE

Level
1
DFD
18
© BVRIT CSE

Level
2
DFD
19
© BVRIT CSE

UML Diagrams – Usecase, Activity, Sequence, Class
Usecase
diagram
20
© BVRIT CSE

Activity
diagram
21
© BVRIT CSE

Sequence
diagram
22
© BVRIT CSE

Class
diagram
23
© BVRIT CSE

25
© BVRIT CSE

26
© BVRIT CSE

27
© BVRIT CSE

Comparative study table
30
Feature Traditional Methods
Generic Platforms
(e.g., LinkedIn)
BVRIT Alumni-
Student Connect
Platform
Community
Exclusivity
No centralized system
Open to all
institutions
Only for BVRIT
Narsapur community
Role-Based
Dashboards
Not available
Not personalized for
institution roles
Customized for
Students and Alumni
Student-Alumni
Interaction
Informal or rare
Limited personal
connection
Direct, role-based
mentorship system
Alumni Verification
Manual/No
verification
No institution-specific
verification
Admin-approved or
document-based
process
Opportunities
Posting
Word of mouth/email Generic job boards
Alumni-posted,
student-targeted
board
Chatbot Assistance Not available Generic help
Platform-specific, AI-
powered assistant
© BVRIT CSE

Conclusion and Future Enhancement
Conclusion
• The BVRIT Alumni-Student Connect Platform successfully bridges the gap
between alumni and students, fostering mentorship, career growth, and
community engagement.
• With role-based dashboards and personalized features, the platform ensures a
secure, meaningful, and user-friendly experience for all members of the BVRIT
Narsapur community.
Future Enhancement
• Communities page that has project domains, so that alumni can post jobs
directly in that community.
• Integrate real-time video/voice mentoring sessions directly within the platform
for seamless communication.
• Add AI-powered analytics to provide personalized career path suggestions and
alumni-student match recommendations based on skills and interests.
31
© BVRIT CSE

References
[1] S. Aammou, Z. Tagdimi, and Y. Jdidou. Leveraging artificial intelligence in the ELSEI master’s
program: Enhancing educational outcomes and student experience. EDULEARN24 Proceedings, 2024.
[2] A.Utkirov. Artificial intelligence impact on higher education quality and efficiency. SSRN, 2024.
[3] M. Shoaib, N. Sayed, J. Singh, J. Shafi, and S. Khan. AI student success predictor: Enhancing
personalized learning in campus management systems. Computers in Human Behavior, 2024.
[4] M. A. Alzubaidi and U. Khalid. Enhancing graduate employability with AI in transnational higher
education. IGI Global, 2024.
[5] W. Chabane, K. S. Ouggad, and A. K. Dekhil. The role of artificial intelligence in enhancing
learning outcomes of Masters’ level students: A case study in higher education. University of
Temouchent Repository, 2024.
[6] V. Chukhlomin. Exploring the use of custom GPTs in higher education strategic planning: A
preliminary field report. SSRN, 2024.
© BVRIT CSE 32

References
[7] S. Chakraborty, B. Misra, and N. Dey. AI-empowered knowledge management in education.
Springer, 2024.
[8] P. S. Aithal and S. Aithal. Optimizing the use of artificial intelligence-powered GPTs as
teaching and research assistants by professors in higher education institutions: A study on
smart education systems. Int. J. Manag., 2024.
[9] S. Papadakis, S. H. Lytvynova, and S. M. Ivanova. Advancing lifelong learning with AI
enhanced ICT: A review of 3L-Person 2024. KDPU Repository, 2024.
[10] B. George and O. Wooden. Managing the strategic transformation of higher education
through artificial intelligence. Administrative Sciences, vol. 13, no. 9, p. 196, 2023.
[11] P. Ibinaiye. AI for a globalized higher education: Enhancing teaching/learning, research,
and community service. ResearchGate, 2023.
[12] A. Dembe. Advancing personalized learning through educational artificial intelligence:
Challenges, opportunities, and future directions. ResearchGate, 2022.
33
© BVRIT CSE

References
[13] K. H. Lawal and S. C. Lwanga. Cloud-based and AI-enabled career path: A meeting point
for students, parents, higher institution, and industries. ResearchGate, 2021.
[14] O. S. Lawal. Artificial intelligence in higher education: A critical examination of its impact
in teaching/learning, research, and community service. ResearchGate, 2020.
[15] C. Schlicht. AI in higher education: Transforming education through innovative learning
formats and enhanced student engagement. ZHAW Digital Collection, 2019.
34
© BVRIT CSE

Presentation ppt.pptx netigjhgilcte,jlbtejhbio

More Related Content

Similar to Presentation ppt.pptx netigjhgilcte,jlbtejhbio

Recently uploaded

Presentation ppt.pptx netigjhgilcte,jlbtejhbio