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CSE-AI'26 IGDTUW
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Assessing your cultural and operational fit
Indira Gandhi Delhi Technical University for Women
React Frontend Engineer
June 12, 2026 – Present
shadow-nirikshan-engine
February 5, 2026 – Present
AI-driven decision support engine to detect invisible water and electricity waste during inactivity
View ProjectMotivational-Quotes-Chrome-Extension
March 26, 2024 – March 26, 2024
With this Chrome extension, you'll receive a random motivational code every time you visit a website, serving as a little reminder to stay focused, inspired, and driven towards your goals.
View ProjectFace-Detection-System
September 30, 2023 – March 12, 2024
The Face Recognition System is a Python application that utilizes computer vision and deep learning techniques to recognize faces in real-time and provide additional information about recognized individuals using Firebase as a backend database and storage solution.
View ProjectOpen_Source_InnovationPage
September 20, 2023 – October 24, 2023
Open_Source_InnovationPage — GitHub repository
View ProjectResult-Lab
March 22, 2023 – March 10, 2024
Student Result Management System - Result Lab. This project was successfully developed by the contribution of the following team members: Payal Narwal (CSE-AI , 2026), Shatakshi Bansal (CSE-AI , 2026), and Prachi Verma (CSE-AI , 2026).
View ProjectTechnicalResources2026cohort
January 15, 2023 – January 22, 2023
This is the submission assignments of Technical Resources Cohort 2026. I am a first year CSE-AI student who aims to learn new skills and technologies. Programming language- Python
View ProjectCultural Fit Analysis
The candidate has a diverse set of personal projects, indicating a proactive learning attitude. However, the projects are mostly foundational and do not deeply align with a senior React Frontend Engineer role. The listed 'React Frontend Engineer' role at Indira Gandhi Delhi Technical University for Women with a future start date and current status is unusual and lacks detail, making it difficult to assess genuine professional experience or cultural fit within a typical corporate environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's experience level is 0, and there are no psychometric test results or detailed project descriptions to infer these qualities.