IDEA2PATENT – Patent Idea Submission Event

Report on IDEA2PATENT – Patent Idea Submission Event

Event Name: IDEA2PATENT

Organized by: PG Department of Computer Applications

Institution: Marian College Kuttikkanam (Autonomous)

Event Duration: Two Weeks

Mode: Idea Submission (Online)

Participants: Students of Marian College Kuttikkanam (Autonomous)

Introduction

The IDEA2PATENT event was organized by the PG Department of Computer Applications with the objective of encouraging students to think innovatively and introduce them to the concept of patents, especially design patents. The event aimed to provide a platform for students to submit original and creative ideas that could potentially be patented in the future.

Objective of the Event

● To create awareness about design patents

● To encourage innovation and creative thinking among students

● To motivate students to convert ideas into protectable intellectual property

● To identify unique and practical design-based ideas from students

Event Planning and Promotion

The event was carefully planned and coordinated by the PG Department of Computer Applications. To ensure maximum participation, the organizing team prepared and released:

● A promotional video explaining the event concept 

Link: https://www.instagram.com/p/DUQLz8yjznP/

● An event poster shared through college platforms and student groups

Link: https://www.instagram.com/p/DUP0bsKjxkn/

● An Website for submitting application for participating

Link:https://sijomonps.github.io/Idea2Patent/?utm_source=ig&utm_medium=social&utm_content=link_in_bio

Students were informed that the event would be open for two weeks, during which they could prepare and submit their patent ideas.

Event Execution

The IDEA2PATENT event was conducted over a period of two weeks, allowing students sufficient time to brainstorm, design, and submit their ideas. The event specifically welcomed design patent ideas, making it easier for students from different disciplines to participate.

Students submitted innovative ideas focusing on:

● Product design

● Daily-use improvements

● Practical and creative solutions

The extended submission period helped students refine their ideas and submit quality concepts.

Outcome of the Event

● Received multiple innovative patent ideas from 5 Departments

● Increased awareness about patents and intellectual property rights

● Encouraged a culture of innovation and research thinking

● Helped students understand the importance of protecting ideas

Conclusion

The IDEA2PATENT event was successfully conducted and received positive responses from students. The event played an important role in introducing patent concepts at the academic level and motivated students to think beyond regular classroom learning. The PG Department of Computer Applications effectively coordinated and executed the event, making it a meaningful and educational experience for all participants.

THE ENIGMA CONCLAVE: TREASURE HUNT

THE ENIGMA CONCLAVE: TREASURE HUNT

The Enigma Conclave, a flagship treasure hunt held on 30th January 2026, was organized by the Department of Computer Applications (MACCSA) at Mar Augusthinose College, Ramapuram, as part of the signature fest CELESTA. This event was designed as a dynamic challenge for students to showcase their cleverness and analytical prowess through a series of puzzles and riddles. With a registration fee of 200 and a price pool of 5000, the competition fosterered an environment of healthy competition and collaboration, beginning promptly at 10:00 AM following the 9:00 AM registration phase.

Participants: Team1

1. N V Edwin-25PMC143
2. Deva Nandanan. S - 25PMC128
3. Pooja L – 25PMC145
4. Tinu Tomy - 25PMC155

Participants: Team2

1. Abhinav Rajesh - 25PMC101 
2. • Alan Augusthy - 25PMC107 
3. • Albin George - 25PMC110 
4. • Asni Ansari Fathima - 25PMC119

PROMPT ALCHEMY: AI IMAGE GENERATION

 

PROMPT ALCHEMY: AI IMAGE GENERATION

Prompt Alchemy, an innovative AI image generation competition held on 30th January 2026, was organized by the Department of Computer Applications (MACCSA) at Mar Augusthinose College, Ramapuram, as a highlight of the technical fest CELESTA. This event served as a platform where precise prompts were transformed into stunning AI art, testing the participants' ability to communicate effectively with generative models. The competition followed a solo format with a registration fee of 50 and a prize pool of 3000.

Participants:

Amal Thomas (25PMC114)

NASA SPACEAPPS CHALLENGE HACKATHON

 

NASA SPACEAPPS CHALLENGE HACKATHON 

The NASA Spaceapps challenge hackathon held on 3rd October, organized by Amal Jyoti College Of Engineering Autonomous, an international innovation event that brings together students, developers, and problem-solvers to create solutions for real-world challenges using space and earth science data.

 The competition featured two exciting rounds covering the first phase of project building and the second round of presentation of the product we made.

Participants:

1. Sijomon PS(25PMC154)
2. Vivek Menon(25PMC158)
3. Mobin Varghese(25PMC141)
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E-FOOTBALL TOURNAMENT – CELESTA 26

E-FOOTBALL TOURNAMENT – CELESTA 26

CELESTA 26 is an inter-collegiate techfest organized by the Department of Computer Science, Mar  Augusthinose College Ramapuram. The fest aims to foster innovation, technical skills, and competitive 

spirit among students through a wide range of technical, esports, and creative events.

The E-Football Tournament was conducted as part of CELESTA 26 at Mar Augusthinose College, Ramapuram, bringing together students from various colleges. The competition followed a knockout format, requiring participants to win each match to advance. I participated in the tournament up to the third round. The event was well-organized and provided a competitive platform to showcase gaming skills.

Participant: 

• Abinto Tennichan (25PMC102)
• Albin Saju (25PMC111)
• Ayush S (25PMC121)

DESIGN FOUND: WEB DESIGN FACE-OFF

 

DESIGN FOUND: WEB DESIGN FACE-OFF

Design Found, the ultimate web design competition held on 30th January 2026 , was organized by the Department of Computer Applications (MACCSA) at Mar Augusthinose College, Ramapuram , as part of the signature fest CELESTA. This event challenged CSS wizards and UI/UX visionaries to build responsive masterpieces and demonstrate their technical prowess. The competition was a solo event featuring a registration fee of 100 and a significant price pool of 9000.

Participants:

J sreelekha (25PMC131)

Guest Lecture on Statistical Foundations for Machine Learning

 

Report on Guest Lecture on Statistical Foundations for Machine Learning

Venue: MCA I
Date: 04/02/2026
Time: 2:30 PM to 3:30 PM
Resource Person: Dr. Sunil Job K. A. 

The PG Department of Computer Applications organized a guest lecture for the First Year MCA students as part of the Machine Learning course on 4 February 2026, from 2:30 PM to 3:30 PM. The session was handled by Dr. Sunil Job K. A., Chief of Academics at IPSR Solutions Limited, who is an experienced and expert resource person in the field.

The session focused on the statistical foundations that are essential for building machine learning models. Dr. Sunil Job began the class by explaining basic statistical concepts such as variables and their types, emphasizing their importance in data analysis and machine learning.

He then introduced the concept of correlation and explained how relationships between variables can be measured and interpreted. This was followed by a detailed discussion on regression analysis. Different types of regression techniques including Linear Regression, Multiple Regression, and Polynomial Regression were clearly explained with suitable real-world examples.

To make the session more practical and engaging, the resource person demonstrated the use of Microsoft Excel for statistical analysis. Students were guided to plot graphs, analyze data, and visually understand the behavior of variables and regression models. Hands-on practice helped students gain confidence in applying theoretical concepts.

The class was highly interactive, and Dr. Sunil Job K. A. explained complex statistical concepts in a simple and easy-to-understand manner. Real-world examples were used extensively, which helped students clearly understand the relevance of statistics in machine learning model building.

Overall, the session was informative and enriching. It provided students with a strong foundation in statistical concepts that are crucial for machine learning. The guest lecture was highly beneficial and enhanced the students’ understanding of data analysis and model development.