Computer Engineering (K.J. Somaiya College of Engineering) 2024
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Silent-Connect
February 8, 2023 – February 8, 2023
A video call system w/ sign language translation uses AI to translate gestures in real-time for improved communication between sign language & non-sign language users, breaking down barriers & promoting inclusivity. Improves accessibility for the deaf/hard-of-hearing.
View ProjectExpense-Tracker
November 19, 2022 – November 30, 2022
Expense-Tracker — GitHub repository
View ProjectTranscript_Generator
November 16, 2022 – March 10, 2023
The YouTube Transcript Generator project generates written transcripts for YouTube videos using speech-to-text technology, improving accessibility and searchability. The goal is to enhance the user experience and make video content more accessible.
View ProjectAI-in-Healthcare
October 25, 2022 – October 25, 2022
The project applies AI techniques, such as ML algorithms and computer vision, to analyze medical data and provide insights to healthcare providers. The goal is to enhance accuracy, efficiency, and improve patient outcomes while reducing healthcare costs.
View ProjectCyclone_Intensity_Estimator
August 2, 2022 – January 21, 2025
The Cyclone Intensity Estimator project uses data sources and machine learning algorithms to accurately predict the intensity of cyclones. The goal is to improve the accuracy and timeliness of predictions and reduce the impact of cyclones on communities.
View ProjectDistributed_Peer_Review_of_submission
October 1, 2019 – May 27, 2024
Distributed Peer Review of Student's submission
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards AI/ML and data-driven solutions, which aligns with a Data Scientist role. The diversity of projects (video call translation, cyclone prediction, healthcare AI, YouTube transcript generation) indicates a broad interest in applying data science to various domains. However, the lack of professional experience or formal education details makes it difficult to fully assess cultural fit beyond project interests.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no insight.