AI/ML Developer Intern @ Blockcube | Ex - Data Analyst Intern @ SAIL | Ex - ML Intern @ Reliance Jio | AI&ML Lead @ GDSC-ADGITM | GGSIPU'25
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
PDFgpt
September 25, 2024 – November 20, 2024
PDFgpt is an LLM-powered application that lets users upload PDF documents and get precise, context-based answers through both text and audio outputs.
View ProjectSentence_Evaluator
September 23, 2024 – September 23, 2024
This will be used to check if complete sentences are used in the variable parts of message templates, which could be used for phishing.
View ProjectCanvasAI
March 10, 2024 – March 10, 2024
CanvasAI is a simple and fun computer vision project that allows you to draw in the air using hand gestures. Built with OpenCV and machine learning using Mediapipe, this project detects and tracks hand landmarks to create an interactive canvas.
View ProjectFacial-Verification-with-Siamese-Network
May 25, 2023 – May 27, 2023
Developing a deep facial recognition application using TensorFlow, based on the research paper "Siamese Neural Networks for One-shot Image Recognition."
View ProjectAmazon_ML_Challenge
April 22, 2023 – April 22, 2023
Amazon_ML_Challenge — GitHub repository
View ProjectAutism_Detection_using_Machine_Learning
February 26, 2023 – May 21, 2023
This is a binary classification problem related with Autistic Spectrum Disorder (ASD) screening in Adults. Given some attributes of a person, the model can predict whether the person would have a possibility to get ASD using different Supervised Learning Techniques.
View ProjectBigMart_Sales_Prediction_ML
December 13, 2022 – December 14, 2022
In this project, we have predicted BigMart sales using ML algorithms Linear Regression and Random Forests.
View ProjectEduMotive_Edu_Hackathon
November 1, 2022 – August 4, 2023
EduMotive_Edu_Hackathon — GitHub repository
View ProjectCultural Fit Analysis
The candidate's project portfolio demonstrates a strong initiative and passion for AI/ML, which aligns well with an innovative and learning-oriented culture. The diversity of projects, from medical applications to computer vision and LLMs, suggests a broad interest in the field. However, without information on teamwork or collaborative project experience, assessing cultural fit beyond individual drive is limited.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions indicate an ability to work on self-directed projects, but collaboration, stress handling, and communication clarity in a team setting cannot be evaluated without further information or psychometric test results.