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Hey there, I'm Rachit! 👋

2023 B.Tech graduate from NIT Jalandhar, specializing in Generative AI and Machine Learning. Driving AI innovation and strategy as an AI Platforms Solution Engineer at FastHr.AI, a leading Gen-AI startup, by harnessing the power of Generative AI and Machine Learning to deliver transformative results and push the boundaries of technology. Concurrently thriving in the financial realm as a perceptive stock market and crypto investor, combining technical prowess with keen financial acumen, reflecting a unique blend of technical and financial insight.

🚀 About Me

🎓  National Institute of Technology(NIT), Jalandhar 2023 pass-out Major in Instrumentation and Control and Minor in Computer Science.
🌱  I'm on track experimenting more about Artificial Intelligence, Natural Language Processing, and Image Processing.
💡  I like to explore new technologies and develop software solutions.
✍️  I'm an active trader and investor in stock market, cryptocurrencies, digital assests like NFT, digital land, etc.
✍️  In free pass time, I do Blog Writing, Book Reading, Gaming as hobbies/side hustles.
✉️  For feedback and suggestions email at [email protected]!

🛠  Tech Stack

Python  C  C++  Tensorflow  Jupyter  Anaconda  Windows 
Heroku  HuggingFace  Kaggle  Flask  MongoDB  SQL  BAT  Bootstrap;
HTML  Git  GitHub  Colab  Visual Studio Code \

⚙️  GitHub Analytics

🤝🏻  Connect with Me

Rachit R Jindal's Projects

bg_remover_flask icon bg_remover_flask

A Deep Learning object detection based web app that removes the background of the images using a Neural Network model. Created on Flask and deployed on Herkou, this app uses a DeepLabV3 Xception model for object detection and image processing techniques to remove the background.

correlation-of-names-and-numbers icon correlation-of-names-and-numbers

ML (Machine Learning)/NLP project for extraction of Names, Aadhar ID, PAN numbers. It uses Pytesseract OCR for extracting text from images, and uses Hugging Face NER model for Name extraction and regex library for extracting PAN and Aadhaar ID numbers.

covid-19 icon covid-19

Novel Coronavirus 2019 time series data on cases

face-detection-and-recognition-system icon face-detection-and-recognition-system

An interesting deep learning python image classification project for Face Recognition Attendance System using Haar Cascade Classifier. The python libraries include cv2, pillow, os, pickle, etc.

job_webscrapping icon job_webscrapping

This project scrap the job data from Indeed using beautifulsoup library in Python and stores the data in a pandas data frame which can further be converted into any suitable form of file be it csv, xlxs, json etc.

management-information-system-mis- icon management-information-system-mis-

A prototype MIS (Management Information System) app deployed using Heroku with full fledged login and encrypted password system developed using Python (Flask)

motion-detection-system icon motion-detection-system

An interesting python project involving the use of a cv2 module for detecting the motion by using the difference in the frame technique.

movie-recommendation-system icon movie-recommendation-system

Recommendation engines are now a one of the most common Machine Learning project that can be seen now-a-days. In fact, some biggest brands are build around one, like Netflix, Amazon, Google, etc. Thirty-five percent of purchases on Amazon come from product recommendations.

pigmented-skin-lesions-classification-cnn icon pigmented-skin-lesions-classification-cnn

The main objective is to devise an efficient and computationally optimum approach by improving the existing classification model in the field of the Medical World more precisely Dermatology Department for improved diagnosis followed by better medical assistance. Skin diseases are a common problem affecting a lot of people, and lack of proper assistance can lead to chronic problems like acne, vascular lesions, Eczema, etc. With evolving computational performance and algorithms, classification of the disease can be automated and deployed with the live stream using Computer Vision techniques. This project aims toward the classification of 7-types of common pigmented skin lesions using a Neural Network architecture comprising of CNN, Dropout, MaxPooling, and Dense layers and precisely tuned hyper-parameters like Learning Rate, Early stopping, Loss function, etc.

product_recommendation_system icon product_recommendation_system

Product Recommendation Engine Recommendation engines are now a one of the most common Machine Learning project that can be seen now-a-days. In fact, some biggest brands are build around one, like Netflix, Amazon, Google, etc. Thirty-five percent of purchases on Amazon come from product recommendations.

qna_modeling icon qna_modeling

QA (Question-Answering) are machine or deep learning models that can answer questions given some context, and sometimes without any context based on the data already fed into the model. They can extract answer phrases from paragraphs and can even paraphrase the answer generatively.

stock-market-price-pediction icon stock-market-price-pediction

An simple yet interesting deep learning forecasting model project for predicting stock prices in real-time. It uses LSTM for pattern learning and better accuracy.

sudoku-solver icon sudoku-solver

Interesting C++ project using concepts like recursion and backtracking for solving complex puzzle like sudoku.

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