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Artificial intelligence is an ocean of boundless innovations and possibilities. I'm a final year undergraduate student🎓 at IIITDM JABALPUR who adores AI and want to embark on my carrier leveraging its capabilities on top of the limited human brain capacity to solve more complex problems like health and food crises, technological securities, and natural hazards on a fly.

A developer always interested and spirited about kaggling, learning Artificial Intelligence things. Highly passionate about analyzing and solving Machine, Deep learning problems with insightful results. Inclined more towards Computer-Vision, Applications of Deep Learning, Adversarial Machine Learning 🖖.

The Desire to pursuing my interests, study, and examine new things in the domain, honing my skillset motivates me to become a ML Developer and Researcher in the future. Also, Looking for discovering new pieces of stuff and opportunities to gain experience in the field, widen my perspective, and go deeper into the ocean 🌻.

Apart from technical, I'm a big MCU and DC universe fan. Also, I enjoy playing Lawn-Tennis🎾, Traveling🌇, Photo Editing📷, listening Music🎶

Akhilesh D. kapse's Projects

chitra icon chitra

A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.

drishti-a-blind-navigation-system icon drishti-a-blind-navigation-system

A Smart Blind Baseline System helps BLIND people to sense their environment by estimating the depth in a real-time image to guide them via Stereo sound Generation and also simultaneous bar-charts visualization.

evalai icon evalai

:cloud: :rocket: :bar_chart: :chart_with_upwards_trend: Evaluating state of the art in AI

fruit-classifier-and-quality-checker-flask_api icon fruit-classifier-and-quality-checker-flask_api

Simple Flask web app able to distinguish between real world images of Apples, Bananas, Oranges with predicting weather the fruit in image is Fresh or Rotten with respective probabilities on real-time hosted web service (Heroku)

nyu-ml-intern icon nyu-ml-intern

Deep Learning for Fluid Velocity stimulations and Analysis. Compromising Computational fluid dynamic tools (i.e. PIVlab) over Machine Learning Models for the fluid flows tasks.

srgan icon srgan

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

youtube-video-statistics-eda icon youtube-video-statistics-eda

The project aims to extract valuable and Sociological insights by combining the correlation and statistical distribution of YouTube EDA.

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