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Ram Patil

Showcasing Academic and Extra-Academic Work

About

My portfolio features a collection of academic and extra-academic projects, highlighting my skills and expertise. With a focus on delivering high-quality work, I have collaborated on various projects and is passionate about turning ideas into reality.

Work

M.I.C.E. Labs - My elective experience

Day 4: Reference Management & AI in Research

Day 4: Reference Management & AI in Research

Day 5: Topic Selection & Base Paper Search

Day 5: Topic Selection & Base Paper Search

Day 6: Deep Dive into Literature Search & Review

Day 6: Deep Dive into Literature Search & Review

Day 6: Deep Dive into Literature Search & Review

Building on the previous day’s efforts, Day 6 was dedicated to deepening our literature review. Each group refined their research questions and conducted a comprehensive search to identify gaps in existing studies.

We practiced advanced search techniques, applied Boolean operators, and critically assessed research papers for relevance and credibility. This process strengthened our research framework, ensuring a solid and well-supported foundation for our projects.

Day 7: Introduction to Data Analysis & Jamovi Basics

Day 7: Introduction to Data Analysis & Jamovi Basics

Day 7: Introduction to Data Analysis & Jamovi Basics

On Day 7, we explored data analysis software, a vital aspect of research. While we were introduced to tools like R, Python, SPSS, and Jamovi, the primary focus was on Jamovi—an open-source statistical software designed for intuitive and efficient analysis.

We gained hands-on experience with data input and descriptive statistics in Jamovi, learning how it simplifies complex statistical computations. This session was a crucial step toward practical research applications, emphasizing the importance of data analysis in drawing meaningful conclusions from research findings.

Day 8: Data Visualization & Chatbots for Analysis

Day 8: Data Visualization & Chatbots for Analysis

Day 8: Data Visualization & Chatbots for Analysis

Effective data visualization plays a crucial role in enhancing research presentations. We explored several AI-powered visualization tools, including:

Miro & Infogram – Designed for collaborative visual storytelling.
Piktochart & Datawrapper – Ideal for creating infographics and data visualizations.
Flourish & Chartblocks – Useful for building interactive charts.
RawGraphs – Best suited for visualizing raw data.

These tools enable researchers to transform complex datasets into clear, visually engaging, and easily interpretable formats.

Day 9: AI for Presentations

Day 9: AI for Presentations

Day 9: AI for Presentations

Effective presentation design is essential for clear and impactful research communication. We explored AI-driven platforms that simplify slide creation, including:

Gamma.ai – Automates slide generation for efficient presentation building.
Microsoft Copilot – Enhances PowerPoint with AI-assisted design and content suggestions.
Presentations.ai – Creates professional presentations using AI-driven templates.
Canva – Offers AI-powered design templates for visually appealing slides.

These tools help streamline the design process, reducing time spent on formatting while ensuring high-quality, cohesive presentations.

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