Ankit Girish

Motivated and dedicated student currently studying at DSU with a strong foundation in deep learning. Possess a solid understanding of deep learning concepts and techniques, demonstrated through the completion of a significant project in this field. Eager to leverage academic knowledge and project experience to contribute to innovative research and development.

• Microsoft Office Specialist: Microsoft Excel 2013
• Google Data Analytics
• Google AI Essentials

AI-Driven Wildfire Detection and Monitoring, Dayananda Sagar University,

Detects and monitors wildfire activities in real-time using data from optical, thermal, and radar satellite sensors. Analyzes satellite data with machine learning and deep learning models to predict wildfire behaviors and assess risks accurately. 

Self Learning Sorting Algorithm Visualizer, Dayananda Sagar University, 

Aids in understanding sorting algorithms by visualizing their step-by-step processes, enhancing comprehension and retention. It allows real-time analysis of sorting algorithms' performance, helping identify optimization areas and understand the impact of different data sets on efficiency. 

Syntax Tree Generator and Analyzer, Dayananda Sagar University, 

It is Integral in compiler design to parse source code into an intermediate representation for further processing. Provides a clear visual representation of how code is structured according to grammar rules, aiding in comprehension for developers and linguists alike.

Interactive PDF Chat System Using Localized LLMs

Developed a PDF-based chatbots that enables users to query documents using localized LLMs (e.g., Ollama). The project focused on extracting text from PDFs, processing it with an LLM running locally, and generating context-aware responses. This eliminates the need for cloud-based AI, ensuring privacy, faster response times, and offline accessibility.

File Comparison and Analysis Assistant using Vertex AI,L&T Technology services

Developed a Python-based solution that compares two Microsoft Word documents (.docx) and highlights their differences using Vertex AI's advanced Gemini model. The project involves reading and processing .docx files, performing a detailed line-by-line comparison using difflib, and generating a comprehensive summary of the similarities and differences. This summary includes key changes such as additions, removals, and significant modifications in wording. Safety settings are configured to ensure the model output adheres to content guidelines.