Pre-final year CE | Machine Learning & Software Development
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Bilookie
Machine Learning
June 15, 2026 – Present
LateNight01s
Machine Learning
June 15, 2026 – Present
ViAPP
April 21, 2022 – August 20, 2022
Project Marks Evaluation System (Web and Android App)
View Projectngbliving_chatbot
June 28, 2020 – May 6, 2022
ChatBot application designed for NGB Living company
View ProjectCongAn-Friend
February 29, 2020 – January 10, 2023
Prototype for predicting the severity of depression based on machine learning models deployed over the Google Cloud Platform using Firebase.
View ProjectWomenSafetyApplication
September 29, 2019 – January 4, 2023
An application based on react-native and firebase devised for the safety of women. It was built within 12 hours during a university hackathon.
View ProjectwomenSafetyApp
September 27, 2019 – October 18, 2020
Mobile application for women safety made during a 24 hour college hackathon.
View ProjectautoAttendanceApp
September 8, 2019 – December 10, 2022
A face recognition based attendance system for college
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a diverse range of interests, including mobile development, web development, and machine learning. The projects are primarily personal and hackathon-based, indicating initiative and a proactive learning approach. The target role is Machine Learning, which aligns with several of the candidate's projects and stated experience. However, the experience entries for 'LateNight01s' and 'Bilookie' are future-dated (startDate 2026), which is unusual and suggests potential data entry issues or a misunderstanding of the field. This makes it difficult to accurately assess current professional experience and cultural fit within a team setting.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test score is 0, providing no insights.