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AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Automated-Fetal-Brain-Abnormality-Recognition
March 14, 2024 – June 16, 2025
Automated-Fetal-Brain-Abnormality-Recognition — GitHub repository
View ProjectIntelligent-PDF-Interactions-with-Natural-Language-Queries
March 10, 2024 – March 23, 2024
Intelligent-PDF-Interactions-with-Natural-Language-Queries — GitHub repository
View ProjectTailored-Chatbot-for-Hostel-Booking-System
November 11, 2023 – February 4, 2024
Tailored-Chatbot-for-Hostel-Booking-System — GitHub repository
View ProjectReinforcement-Learning
September 3, 2023 – November 11, 2023
Reinforcement-Learning — GitHub repository
View ProjectParallel-Computing-Architecture
May 2, 2023 – June 6, 2023
Parallel-Computing-Architecture — GitHub repository
View ProjectAmazon-ML-Challenge-2023
April 21, 2023 – April 21, 2023
Amazon ML Challenge is a two stage competition where students from all engineering campuses across India will get a unique opportunity to work on Amazon’s dataset to bring in fresh ideas and build innovative solutions for a real world problem statement.
View ProjectYOLOv8-and-GroundingDINO-for-Real-Time-License-Plate-Detection
March 26, 2023 – September 29, 2023
A project using YoloV8 to detect License Plates
View ProjectDeep-Learning
August 28, 2022 – November 7, 2022
This repository contains the code for multiple Deep Learning projects. The projects use a variety of Deep Learning techniques, such as convolutional neural networks, recurrent neural networks, and reinforcement learning.
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards individual technical exploration and competition (Amazon ML Challenge). The diversity of projects indicates a willingness to tackle various ML/DL problems. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit for a collaborative environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.