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AI is analyzing your overall score…
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Dermatological-Lesion-Classifier
May 12, 2026 – Present
Dermatological Lesion Classifier : Use Image Segmentation to isolate skin lesions and Feature Extraction to analyze their boundaries for early detection of abnormalities.
View ProjectCNN-_project
April 16, 2026 – Present
Implementing Explainable AI Techniques in Machine Learning and CNN Models Objective: To understand the importance of transparency and interpretability in ML/CNN models. To apply Explainable AI (XAI) techniques to analyze and visualize model decisions. To evaluate how XAI can improve trust, fairness, and debugging in ML systems
View ProjectEV-Wind-AI
April 6, 2026 – Present
Physics-Informed Deep Learning for EV Wind Turbine Power Prediction
View ProjectSMART-STUDENT-HUB
February 12, 2026 – Present
Scalable Learning Platform for High Traffic Events
View ProjectProject_Mitti_by_Inthink_Technologies
December 22, 2025 – Present
Project_Mitti_by_Inthink_Technologies — GitHub repository
View ProjectUnderstanding_Digital_Twin_using_ESP8266
September 28, 2025 – September 28, 2025
Getting to learn about Digital Twins.
View ProjectCanteen_Queue_Management_System_DATATHON_2025
September 23, 2025 – September 26, 2025
Problem Statement : Long queues in the canteen lead to delays during lunch breaks. Design a system that counts people in the queue , displays waiting times, and sends alerts to students when their turn is near.
View ProjectCultural Fit Analysis
The candidate's projects show a diverse range of interests, from AI/ML to web development and IoT. While this indicates a broad curiosity, the lack of professional experience and specific team-based projects makes it difficult to assess cultural fit. The target role is 'Data Scientist', and while several projects align, the breadth of other projects (Go, TypeScript, C++, Dart, Swift) suggests a generalist approach rather than a focused specialization at this stage. The project descriptions are brief, making it hard to gauge the depth of involvement or collaboration.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.