Talent Acceleration System

The rapid digital transformation of education has increased the demand for self-paced and career-focused learning platforms. The Talent Acceleration System (TAS) is a next-generation Learning Management System (LMS) designed to enhance students' and job seekers' skills through courses in communication, coding, and programming languages like C, C++, Java, and Python. Unlike traditional LMS platforms, TAS offers a learner-centric experience with real-time progress tracking, interactive quizzes, and certification upon course completion. With Razor pay integration, the platform ensures seamless course enrolments, making quality education more accessible. Its secure authentication protects user data while fostering an independent learning environment, allowing users to track progress without external dependencies. By eliminating instructor profiles, TAS empowers learners to advance at their own pace.This research paper examines the technological framework, system architecture, implementation methodologies, and impact of TAS in bridging the skill gap. The findings highlight its potential as a scalable, efficient, and cost-effective solution for modern education. Keyword: Talent Acceleration, Learning Management System (LMS), Skill Development, Digital Education, Adaptive Learning, Adaptive Learning.

Authors

Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2025-03-28
DOI
https://doi.org/10.55041/ijsrem43176
Primary Topic
Reinforcement Learning in Robotics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Talent Acceleration System

Umeroddin Inamdar, Sayali D Khedikar, Tanushree S Vaitage, Deepak Khadse et al.
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Reinforcement Learning in Robotics
article

Talent Acceleration System

Umeroddin Inamdar, Sayali D Khedikar, Tanushree S Vaitage, Deepak Khadse, Prashant Parshuramkar, Sudhanshu Narayane
article en

Abstract

The rapid digital transformation of education has increased the demand for self-paced and career-focused learning platforms. The Talent Acceleration System (TAS) is a next-generation Learning Management System (LMS) designed to enhance students' and job seekers' skills through courses in communication, coding, and programming languages like C, C++, Java, and Python. Unlike traditional LMS platforms, TAS offers a learner-centric experience with real-time progress tracking, interactive quizzes, and certification upon course completion. With Razor pay integration, the platform ensures seamless course enrolments, making quality education more accessible. Its secure authentication protects user data while fostering an independent learning environment, allowing users to track progress without external dependencies. By eliminating instructor profiles, TAS empowers learners to advance at their own pace.This research paper examines the technological framework, system architecture, implementation methodologies, and impact of TAS in bridging the skill gap. The findings highlight its potential as a scalable, efficient, and cost-effective solution for modern education. Keyword: Talent Acceleration, Learning Management System (LMS), Skill Development, Digital Education, Adaptive Learning, Adaptive Learning.

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 09(03)
Openalex Percentile: Top 97%
Reinforcement Learning in Robotics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.