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I am Yugant Gotmare and I am an Aspiring AI Engineer.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI_Meeting_Intelligence
March 12, 2026 – Present
MeetingMind — Meeting Intelligence Layer
View ProjectThe-Nutritionist
January 18, 2025 – February 27, 2025
Upload a photo of your meal and get instant calorie estimates, nutritional insights, and healthy meal suggestions. Simple, accurate, and tailored to your needs—your personal AI-powered nutritionist! 🍎
View ProjectDental_Disease_Segmentation
October 21, 2024 – May 28, 2025
This project uses a U-Net architecture with a VGG16 encoder to segment dental X-ray images, identifying conditions like Caries, Crown, Filling, Implant, and more. The model is trained on annotated data, aiming to improve diagnostic accuracy in dental practice.
View ProjectRailGrievance-AI
September 22, 2024 – October 22, 2024
RailGrievance AI is a web app that extracts ticket details and categorizes grievances from uploaded PDF tickets, streamlining the grievance management process for railway passengers.
View ProjectHealthBuddy
June 4, 2024 – July 19, 2024
This project is a Disease Prediction and Health Advice system built using Flask, scikit-learn, and other Machine Learning Frameworks. It aims to help users identify potential diseases based on their symptoms and provides related health advice including precautions, medications, diets, and workouts.
View ProjectUNet-Enhanced-Brain-tumor-Segmentation
February 24, 2024 – February 24, 2024
This project is an implementation of a deep learning model for brain tumor segmentation using the UNet architecture. The goal is to accurately identify and delineate brain tumors in MRI images. The UNet architecture is chosen for its ability to capture fine-grained details while maintaining spatial context which is crucial for accurate segmentation
View ProjectHealthVision-AI
January 12, 2024 – February 27, 2025
Welcome to HealthVision AI, an advanced health prediction and cell segmentation web application powered by cutting-edge machine learning models.
View ProjectRetina-Blood-Vessel-Segmentation
November 26, 2023 – November 3, 2024
This Retina Blood Vessel Segmentation project uses U-Net to segment blood vessels in retinal images, aiding disease diagnosis. It applies data augmentation on the DRIVE dataset, custom loss functions for class imbalance, and achieves accurate vessel delineation to support automated analysis in ophthalmology.
View ProjectDental-Imaging-and-Analysis-using-Computer-Vision
September 25, 2023 – October 25, 2025
An AI-powered web application for dental X-ray analysis featuring three specialized modules: teeth segmentation, nerve detection, and caries identification. Built with Streamlit, YOLOv8, and VGG16-UNet, it provides real-time diagnostic assistance with interactive visualizations and detailed analysis for dental professional and researchers
View ProjectCultural Fit Analysis
The candidate's portfolio consists entirely of personal projects, showcasing initiative and self-directed learning. The projects are diverse within the AI/ML domain, particularly strong in computer vision and medical applications. This aligns well with roles requiring innovation and practical problem-solving. However, the lack of team-based or professional experience makes it difficult to assess collaboration and adaptability in a corporate setting.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a strong drive for practical application of AI/ML. However, without psychometric or English test scores, it is difficult to assess communication clarity, work attitude, stress handling, or team collaboration skills. The quantity and quality of project descriptions suggest a proactive and hands-on approach to learning and development.