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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14

Issue per Year : 12

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Paper Title: TechAlumini: An Intelligent Platform that Interconnect Students and Alumni
Authors Name: Manisha S. Patil , Sakshi Anand Bari , Rashmi Nandkumar Borse , Vaishnavi Tukaram Bari , Meghana Nilesh Patil
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IJRTI_208293
Published Paper Id: IJRTI2512124
Published In: Volume 10 Issue 12, December-2025
DOI:
Abstract: Lack of visibility and good organization in alumni networks makes it difficult for students to get direction and for graduates to know how they might help. Consequently, good mentoring possibilities and professional contacts sometimes get lost. We have created the Tech Alumni Smart Platform to help with this mounting issue. This interactive web-based tool is meant to make alumni–student interactions easy, intelligent, and successful. Alumni can use the site to develop in-depth professional profiles highlighting their knowledge, abilities, and sector experience. Based on their particular requirements, such career advice, internship support, or project suggestions, an integrated intelligent recommendation system automatically matches students with appropriate mentors using this knowledge. Once a match is made, a built-in scheduling system lets users easily reserve customized one-to-one mentoring sessions free from the usual back-and-forth correspondence through phone calls or emails. A conversational artificial intelligence chatbot is always on hand to respond to questions, help with platform navigation, and guarantee rapid answers so improving the user experience even more. The quick assistance function greatly increases student involvement on the platform as well as access. Extensive testing of our prototype revealed it to be dependable, user-friendly, and fast for real-world application. A former dispersed and passive alumni network turns into a lively, active community where meaningful interactions flourish with the ideal digital environment. Students and their university ought to keep in touch even after they graduate. Actually, graduates with recent degrees have the most relevant knowledge and experience to point pupils in the direction of a better job path. However, because there is no single system promoting cooperation, this potential is usually untapped. Offering a central, contemporary solution where mentoring occurs naturally and quickly, the Tech Alumni Smart Platform gets rid of antiquated networking methods and useless contact lists. The platform guarantees that professional ties are preserved, improved, and optimized to enable ongoing learning and development via technology-driven interaction. In the end, this approach helps current students have better grades and creates a bigger network of alumni involvement, therefore improving the ecosystem.
Keywords: Alumni Network, E-Mentoring, Flask Architecture, Web Platform, Natural Language Processing (NLP), Python, Career Development, Higher Education.
Cite Article: "TechAlumini: An Intelligent Platform that Interconnect Students and Alumni", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 12, page no.b200-b207, December-2025, Available :http://www.ijrti.org/papers/IJRTI2512124.pdf
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ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2512124
Registration ID:208293
Published In: Volume 10 Issue 12, December-2025
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Page No: b200-b207
Country: Shirpur, Dhule, Maharashtra, India
Research Area: Engineering
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2512124
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2512124
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

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