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Hi šŸ‘‹, I'm Rishabh Tripathi

šŸ’« About Me:

Hey there! šŸ‘‹ I'm a leader who values the benefits of working in solitude šŸ¤«, but I also enjoy collaborating with others šŸ¤ and helping them feel at ease šŸ˜Š. With a passion for learning šŸ“š, I am always open to new opportunities that challenge me to expand my knowledge and skills šŸŒŸ.

My interest in evolving technology has led me to explore the exciting world of AI/ML šŸ¤–, while my flexibility in web development šŸ’» has allowed me to adapt to new challenges and create innovative solutions šŸ’”. I find great enjoyment in participating in hackathons šŸ† and working alongside others to create something new and exciting šŸŒ.

Outside of my professional pursuits, I find relaxation and inspiration through my hobbies of reading šŸ“–, taking walks in nature šŸŒ³, and editing videos šŸŽ„. I believe that a balance of work and personal interests is essential to achieving success and fulfillment in life.

  • šŸŒ± Iā€™m currently learning Flutter

  • šŸ‘Æ Iā€™m looking to collaborate on AI/ML/Web/Python Projects

  • šŸ“« How to reach me [email protected]

  • šŸ“„ Know about my experiences: (Resume)

šŸŒ Socials:

Instagram LinkedIn

šŸ’» Tech Stack:

C C++ CSS3 Java HTML5 Python PHP JavaScript AWS Anaconda Django Flask Laravel MySQL Adobe After Effects Canva MicrosoftSQLServer Pandas NumPy Keras Plotly PyTorch scikit-learn SciPy Docker Postman Raspberry Pi

šŸ“Š GitHub Stats:



Rishabh Tripathi's Projects

codescanner icon codescanner

CodeScanner is a mobile application designed to be a powerful tool for developers and programming enthusiasts who prefer writing code on paper. With this app, users can easily digitize their handwritten code using Optical Character Recognition (OCR) technology and compile it directly within the app, saving valuable time and effort.

epilepsyshield icon epilepsyshield

A chrome extension that detects flashing lights from YouTube videos and skips those segments to help people suffering from Photosensitive Epilepsy enjoy the videos.

happy-sad-classification icon happy-sad-classification

This Machine Learning model is capable of detecting whether the input image is a happy person or a sad person.

happyteeth icon happyteeth

The project is a website developed using HTML, CSS, and JavaScript. It was built using Visual Studio Code and tested using the Live Server extension. The code was stored in a GitHub repository and deployed using GitHub Pages. Azure services, including Azure Storage and Azure Static Web Services, were utilized for storage and deployment.

house-price-prediction icon house-price-prediction

A website where user can get an estimate price of a house at certain places in Mumbai by entering certain requirements of the user.

kheti-smart-farming icon kheti-smart-farming

A smart farming project that aims to enhance the farming experience of villagers through the power of Artificial Intelligence (AI) and Machine Learning (ML).

music-recommending-chatbot icon music-recommending-chatbot

Jambot is a web app where user will converse with Jambot (Chatbot) and on the basis of the chats, the emotion of the user will be judged by IBM Tone Analyzer and songs will be recommended using Last.fm API on the basis of emotion predicted.

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