Acsia Technologies Nurtures Next-Generation Engineers Through Finishing School Initiative
Oct 11, 2025
Group photograph of Acsia Finishing School 2025 graduates with dignitaries from ISRO, IIST, Acsia Technologies, faculty from the partnering polytechnic colleges, and members of the Kanal Innovations team at the convocation ceremony.
Students of the Acsia Finishing School Program 2025 with dignitaries and the Acsia team.

Industry-led CSR program builds career readiness among Kerala’s young technologists

Thiruvananthapuram | October 11, 2025: Acsia Technologies, a global provider of automotive software solutions powering Digital Cockpits & Displays, e-Mobility, and Telematics, has successfully completed the Acsia Finishing School Program 2025, a flagship CSR initiative aimed at nurturing young engineering talent and bridging the gap between academia and industry.

The convocation ceremony of the program was held on October 11, 2025 at Hotel Gokulam Grand, Thiruvananthapuram, marking a key milestone in Acsia’s mission to empower the next generation of technologists.

An initiative of the Acsia Foundation Trust, the CSR arm of Acsia Technologies, the 12-week program – commenced in July 2025 – was designed to enhance industry readiness for 50 students from Central Polytechnic College, Vattiyoorkavu, and Government Women’s Polytechnic College, Kaimanam.

Shri M. Mohan, Director, Liquid Propulsion Systems Centre (LPSC), ISRO, inaugurated the ceremony by lighting the traditional lamp along with Prof. Dipankar Banerjee, Vice-Chancellor, Indian Institute of Space Science and Technology (IIST); Mr. Jijimon Chandran, Founder and CEO, Acsia Technologies; Mr. Rejeesh R, Vice President – New Initiatives and Head of CSR, Acsia Technologies; Smt. Beena S, Principal, Government Women’s Polytechnic College, Kaimanam; and Mr. Jose Kunnappally, Head of Marketing & Communications, Acsia Technologies.

Delivering the inaugural address, Shri Mohan appreciated Acsia’s sustained commitment to nurturing young talent.

“In today’s world of competition and rapid technological change, it is truly commendable to see a technology company like Acsia dedicating its time and resources to nurturing the next generation. The Finishing School initiative is not just a CSR obligation – it reflects genuine intent, consistent effort, and a strong sense of social responsibility. Programs like this build confidence and capability among students while contributing to the larger development of our community,” he said.

Mr. Mohan also emphasised the importance of communicating ideas effectively, encouraging students to keep learning, ask questions, and express themselves with confidence.

“Curiosity and clarity of thought are the real drivers of innovation. When you step into your careers, remember that how you express your ideas matters as much as the ideas themselves. At ISRO, we have always believed that innovation begins with curiosity and communication – asking questions, learning continuously, and daring to explore the unknown. It is heartening to see initiatives like this Finishing School cultivating that same spirit among young technologists,” he added.

In his keynote address, Prof. Dipankar Banerjee shared lessons from his own journey and urged students to stay curious and confident.

“Curiosity is the foundation of all discovery. Whether you come from a humble background or a premier institution, what truly matters is the spark to question, learn, and explore. Programs like Acsia’s Finishing School give students the confidence to express themselves, bridge the gap between learning and application, and step forward with purpose,” he said.

“At IIST, we believe that scientific fundamentals and engineering excellence must go hand in hand. Only when science and technology work together can we create original innovations that meet global standards. Initiatives like this Finishing School strengthen that bridge by preparing young minds to think critically and act confidently,” he added.

Delivering the presidential address, Mr. Jijimon Chandran, Founder and CEO of Acsia Technologies, spoke about values, curiosity, and courage as the foundation of success.

“The Finishing School is not just about employability – it’s about instilling curiosity, values, and the courage to dream fearlessly. As we look toward the future, we want young technologists to follow their passion, think differently, and build careers or ventures that reflect integrity and purpose. The spirit that drives ISRO – dedication, innovation, and consistency – is the same spirit we hope to nurture through this initiative,” he said.

Certificates were presented to the students by Shri Mohan, and Prof. Banerjee conferred medals on all participants, honouring their successful completion of the program. Mr. Rejeesh R delivered the Welcome Address, setting the tone for the event.

Felicitations were delivered by Smt. Beena S, Mr. Jose Kunnappally, Ms. Athira Krishnan (Senior Project Director, Kanal Innovations), and Ms. Shimja M (Lecturer, Central Polytechnic College). The ceremony concluded with a vote of thanks by Ms. Deepthi P. S, Project Manager and CSR Committee Member, Acsia Technologies.

Executed in association with Kanal Innovations, the Acsia Finishing School Program offered hands-on training in C Programming, Embedded Systems, Linux, GitHub, and AI Fundamentals, along with sessions on communication, résumé building, and workplace etiquettes. The program reflects Acsia’s continued commitment to creating purpose-driven educational opportunities and building a more inclusive, skilled workforce for the future.

About Acsia

Acsia Technologies is a global provider of automotive software powering Digital Cockpits & Displays, e-Mobility and Telematics. We use our expertise across AUTOSAR, Android Automotive, Automotive Linux, QNX, HMI, Embedded Systems, AI/ML, Vision Systems, Model-Based Development, CI/CD/CT, Ambient Lighting, System Engineering, Test & Test Automation, 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. For more information, please visit www.acsiatech.com. 

About Acsia Foundation Trust

The Acsia Foundation Trust, the CSR arm of Acsia Technologies, is dedicated to creating lasting social impact through education, sustainability, and community development. Its initiatives include the Finishing School Program and the Gift a Dream school revival project at Government UP School, Valiyathura, both executed in partnership with Kanal Innovations. The Trust has also implemented a solar power plant at the Central Institute on Mental Retardation (CIMR) in Thiruvananthapuram and supported the Beach Wall Art Project at Shanghumukhom with the Sustera Foundation, promoting climate awareness and environmental responsibility.

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.
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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.
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Context

Software teams struggle to diagnose system failures from massive log files. Manual analysis is slow, error-prone, and requires expert knowledge. Root cause extraction from unstructured, noisy logs. Use creative algorithms, LLM prompting strategies, or hybrid heuristics.

Pain Point

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Goal

Deliver a working prototype that:

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Outputs

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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

  • Dynamic in-car assistant that responds to context in real-time.
  • Personalized environment settings for comfort and safety.
  • Adaptive infotainment & navigation suggestions tailored to mood, journey type, and accessibility.

Impact

  • Safer driving experience with fewer distractions.
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  • Improved accessibility and inclusivity for diverse user needs.
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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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  • Risk prediction engine (e.g., “Module X likely delayed by 2 weeks due to dependency on Y”).
  • AI-generated summaries (daily/weekly status reports in plain language).

Impact

  • Reduced management overhead → fewer hours wasted on reporting.
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Context

In modern organizations, assembling the right project team is critical to success. Managers must balance skills, experience, cost, availability, and domain expertise, but decisions are often made using intuition or partial information. This leads to suboptimal teams, missed deadlines, or budget overruns.

Pain Point

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  • Costs and expertise trade-offs are rarely quantified, making it hard to justify team composition to leadership or clients.
  • Traditional staffing tools focus on availability but fail to optimize across multi-dimensional constraints (skills, budget, past project fit, timeline).

Challenge

Build a Generative AI assistant that takes as input:

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Goal

Enable managers to form the best-fit, economically feasible project teams in minutes, rather than days, while providing transparency into why each recommendation was made.

Outputs

  • Optimal team composition: Recommended employees, with justification.
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Impact

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  • Lower staffing costs through data-driven optimization.
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