AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Students-performance-prediction-
July 22, 2022 – March 1, 2023
Designed and Developed a web app and ML model using Tkinter and MySQL that determines and analyses a student's performance in his/her academics, predicts his/her marks and helps them improve their score in upcoming exams
View ProjectStock-Predictor-WebApp
October 29, 2021 – October 29, 2021
The following project uses RNN called long short term memory (LSTM) for predicting the closing stock price of a corporation using the last past 60 days stock price. We have used LSTM rather than Bert or Gru because, LSTM is a RNN Architecture used in the field of deep learning unlike other architecture LSTM has feedback connections they can not only process the single data points like images but also an entire sequence of data
View ProjectRapidStocks
December 16, 2020 – November 20, 2021
An app that fetches real-time global equities stocks using REST API.
View ProjectClubster
September 29, 2020 – September 30, 2024
An app to promote and increase club activities at colleges by employing social network.
View ProjectEvent-Management-system
May 12, 2020 – August 16, 2020
Event-Management-system — GitHub repository
View ProjectCultural Fit Analysis
The candidate has a diverse set of personal projects, including mobile applications and machine learning models, which suggests a broad interest in technology. The projects align with the 'Mobile Developer' target role, particularly 'Clubster' and 'RapidStocks' which use mobile-specific technologies. The variety of technologies used (Dart, Swift, Kotlin, Python, JavaScript) indicates an openness to learning and adapting to different tech stacks.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.