Acsia Launches Finishing School Project for 2025–26 to Equip Polytechnic Students with Industry-ready Skills
Jul 25, 2025
Acsia launches Finishing School Project for 2025–26 to Equip Polytechnic Students with Industry-ready Skills

A flagship CSR initiative designed to bridge the gap between academic learning and industry expectations for 50 students from two government polytechnic colleges in Thiruvananthapuram.

Thiruvananthapuram, July 19, 2025: Acsia Technologies, a leading provider of automotive software solutions powering Digital Cockpits & Displays, e-Mobility, and Telematics, has launched its flagship Corporate Social Responsibility (CSR) initiative — the Finishing School Project — aimed at upskilling meritorious students from Central Polytechnic College, Vattiyoorkavu, and Government Women’s Polytechnic College, Kaimanam.

The 12-week program, developed and executed by the Acsia Foundation Trust in association with Kanal NGO, is designed to bridge the gap between classroom learning and industry expectations through hands-on training, professional development, and exposure to real-world technology environments.

The inauguration was held on 19 July 2025 at Central Polytechnic College, Vattiyoorkavu, in the presence of faculty members, Acsia leadership team, and student participants. The event began with a traditional lamp-lighting ceremony, followed by keynote addresses and detailed briefings from representatives of Acsia and its partner institutions.

“As part of our CSR mission, we are committed to supporting causes in education and sustainability,” said Mr. Jijimon Chandran, Founder and CEO of Acsia. “With the Finishing School Project, our goal is to provide students — especially those from modest backgrounds — with the tools and confidence to take their first step into a professional career. We believe that’s where real impact begins.”

“This initiative will bring lasting value to our students,” said Ms. Beena L S, Principal of CPTC. “Acsia’s timely support has enabled us to offer a structured and impactful training program at a time when resources were limited.”

“This is not just a training program — it is a commitment to building a future where every deserving student has the chance to succeed,” said Mr. Rejeesh R, Vice President – New Initiatives and CSR Leader at Acsia Technologies. “Through the Acsia Foundation Trust, we aim to enable meaningful change, and this initiative is a reflection of our belief that talent should never go unsupported due to circumstance.”

“The purpose of education is not just to impart knowledge, but to prepare students to contribute meaningfully to the world outside,” said Mr. Vasantharaj G, Vice President – Technology and AI/ML at Acsia. “With this program, we are making a focused attempt to translate technical education into employable skills.”

The curriculum combines technical and soft skills training, covering C programming, embedded systems, Linux, GitHub, and AI fundamentals, alongside resume writing, communication, interview preparation, workplace etiquette, and grooming. The program also includes site visits and mentorship sessions to provide industry exposure and professional guidance.

The Finishing School Project reflects Acsia’s long-standing commitment to creating purpose-driven educational opportunities and building a more inclusive, skilled workforce for the future. The first batch of 50 students will complete training by October 2025, with plans to extend the initiative to other institutions in the coming years.

About Acsia

Acsia is a leading provider of automotive software powering Digital Cockpits & Displays, e-Mobility and Telematics. We use our expertise across AUTOSAR, Android Automotive, Automotive Linux, QNX, HMI, Middleware and Platform Development, CI/CD/CT, AI/ML, Verification & Validation, Cybersecurity, Functional Safety, and Performance Optimisation, to develop solutions that simplify complex problems and create safer, sustainable, and more compelling driver and passenger experiences.

With a presence across the United States, Germany, Japan, and India, we collaborate with top automobile manufacturers and Tier-1 suppliers.

Press Contact
Athul Lal A G
Director of PR
Email: athul.lal@acsiatech.com
Mob: +91 81290 07793

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AH2025/PS06 | AI/ML

Context

Continuous employee learning is essential for companies to stay competitive in a fast-changing business environment. Organizations adopt Learning Management Systems (LMS) to upskill employees, meet compliance requirements, and support career growth. However, existing LMS platforms often act as content repositories rather than personalized learning assistants.

 

Pain Point

  • Employees are overwhelmed by generic training content and struggle to find relevant courses.
  • Managers lack visibility into skill gaps and training effectiveness.
  • Companies spend heavily on training programs without clear insights into ROI or business impact.
  • Current LMS solutions provide limited personalization and recommendations, leading to low engagement.

 

Challenge

Develop an AI-powered LMS that goes beyond course hosting, by:

  • Mapping employee skills, roles, and career paths to relevant training modules.
  • Using learning analytics to predict skill gaps and recommend personalized learning journeys.
  • Providing managers with team-level insights on training progress and skill readiness.
  • Enabling employees to learn flexibly, with adaptive learning paths based on performance.

 

Goal

Create a smart, data-driven LMS that improves employee engagement, learning outcomes, and workforce readiness while giving leadership clear visibility into training impact.

 

Outputs

  • Personalized learning recommendations for each employee.
  • Skill gap dashboards for managers and HR.
  • Learning progress analytics with completion, performance, and adoption rates.
  • Training ROI insights linked to productivity and career growth.

 

Impact

  • Employees gain relevant, career-aligned skills faster.
  • Managers can strategically deploy talent based on verified skills.
  • Organizations see higher training ROI and improved workforce agility.
  • Creates a culture of continuous learning, driving retention and innovation.
AH2025/PS05 | AI/ML

Context

Continuous employee learning is essential for companies to stay competitive in a fast-changing business environment. Organizations adopt Learning Management Systems (LMS) to upskill employees, meet compliance requirements, and support career growth. However, existing LMS platforms often act as content repositories rather than personalized learning assistants.

Pain Point

  • Employees are overwhelmed by generic training content and struggle to find relevant courses.
  • Managers lack visibility into skill gaps and training effectiveness.
  • Companies spend heavily on training programs without clear insights into ROI or business impact.
  • Current LMS solutions provide limited personalization and recommendations, leading to low engagement.

Challenge

Develop an AI-powered LMS that goes beyond course hosting, by:

  • Mapping employee skills, roles, and career paths to relevant training modules.
  • Using learning analytics to predict skill gaps and recommend personalized learning journeys.
  • Providing managers with team-level insights on training progress and skill readiness.
  • Enabling employees to learn flexibly, with adaptive learning paths based on performance.

Goal

Create a smart, data-driven LMS that improves employee engagement, learning outcomes, and workforce readiness while giving leadership clear visibility into training impact.

Outputs

  • Personalized learning recommendations for each employee.
  • Skill gap dashboards for managers and HR.
  • Learning progress analytics with completion, performance, and adoption rates.
  • Training ROI insights linked to productivity and career growth.

Impact

  • Employees gain relevant, career-aligned skills faster.
  • Managers can strategically deploy talent based on verified skills.
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Context

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Pain Point

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Deliver a working prototype that:

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Impact

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Pain Point

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  • Accessibility needs (visual/hearing impairments, elderly passengers).

Goal

Deliver real-time, adaptive personalization of:

  • Comfort settings: AC, seat adjustments, lighting.
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  • Navigation guidance: route optimization based on urgency, preferences, and accessibility.

Outputs

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Impact

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Context

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Pain Point

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  • Risks (delays, defects, dependency issues) are only discovered late, impacting delivery timelines.
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Challenge

Build an AI-powered project management assistant that can:

  • Auto-generate project dashboards by integrating Jira, GitHub, and MS Teams data.
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  • Predict risks and delays using historical patterns and live progress signals.
  • Deliver natural language summaries for managers and stakeholders.

Goal

Enable project managers to see the full picture instantly, automate reporting, and take data-driven decisions on resources and risks without manual effort.

Outputs

  • Automated project dashboards (progress, backlog, velocity, open PRs/issues).
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  • AI-generated summaries (daily/weekly status reports in plain language).

Impact

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Context

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Pain Point

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Challenge

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Goal

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