Sandipan Rakshit
@sandipanrakshit34Ex-Intern DRDO, ISI, Infosys | Software Developer | Data Analyst | AI/ML Enthusiast
Language Breakdown
Lines of code distribution across 46 owned repositories
I-Shaped Developer
I-shapedSpecialist — deep expertise in Jupyter Notebook
Collaboration Network
Global Impact visualization
Repos
67
PRs
0
Growth
+18%
Top Collaborators
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Coding Streak
Contribution activity over the past year
Chijioke Emmanuel Nnekwelugo
@cjnnekwelugo
Necdet Arda Etiman
@Necoo33
Shahram Samar
@shahramsamar
F. Donato
@0xm4ud
Kaustubha
@Kaustubha-09
Top Repositories
This repository powers the README displayed on my GitHub profile.
This project provides a dashboard for monitoring crops via remote sensing data. It allows farmers to view vegetation metrics for their fields over time to track crop health and growth.
Gestures Calculator project utilizing AI and computer vision. The system enables users to input math problems through hand gestures. Once recognized, AI processes the input and provides explanations for the solutions.
A repository for my summer project internship at AICTE (2024-2025).
The Resume Screening App is a machine learning application designed to streamline the hiring process by analyzing and scoring resumes based on their alignment with job requirements. The app uses advanced Natural Language Processing (NLP) techniques and machine learning algorithms to provide users with valuable insights into their resumes.
Neo ExoSphyre is a Machine Learning based project for detecting and tracking Near-Earth Objects (NEOs) like asteroids and comets. Using machine learning, it processes data to predict NEO trajectories and assess potential collision risks.
Detection of craters on planetary surface is very crucial for the better understanding of planet topography. It is also important for the selection of landing sites of various lander mission, path planning for rover missions. This project is about application of deep learning method for detection and semantic segmentation of craters in an image.
A repository for my summer project internship at Infosys Springboard (2024).
Model-free reinforcement learning has been applied to many challenging problems, especially when the environment is complex and hard to be modeled. Adapting deep learning techniques to the field of reinforcement learning introduces more alternatives while designing distinct policies and value functions.
Open Source Impact
Contributions to external projects
