Currently pursuing my dreams in Computer Science, I am a passionate programmer and a tech enthusiast. I am always open to collaborating on projects and innovative/disruptive ideas. I love solving problems and taking up new challenges. My interest lies in the world of web, mobile development and machine learning.
- π± Iβm currently counting the dots in Machine Learning
- π Preparing for tech interviews
- π Learning new things every day
- π Catch me on Linkedin
- π Pronouns: He/his
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Readnow - read anytime anywhere
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- Provided a platform for readers to consume and create content where they can create and read posts, generate AI posts, join groups, attend events and subscribe to editorials.
- Built a robust backend using Node.js, Express.js, MongoDB, and Strapi CMS.
- Implemented a responsive frontend mobile app using React Native, Redux, and Material design.
- Implemented clean code architecture and followed best practices for designing REST APIs.
- Implemented JWT authentication and authorization for secure access to resources.
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Recipee- your one stop food station
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- Provided a platform for users to search for recipes and dishes, create and sell their dishes as a restaurant owner, write and read articles, and order food.
- Constructed a capable server using Node.js, Express.js, MongoDB, and Apollo GraphQL.
- Developed a responsive frontend web app using React with tailwind CSS, along with the power of Apollo client.
- Implemented schema resolvers and queries for fetching data from the server.
- Implemented JWT authentication and authorization for secure access to resources.
- Implement role based access control for different users along with Stripe Payment Gateway.
- React PDF for generating invoices and receipts.
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Weather data and moon phase pridiction using machine learning
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- Utilized Indian Weather Repository ( Daily Updating ) dataset from Kaggle and extracted features like coordinates, temperature, humidity, wind speed, moon rise, moon set, sun rise, sun set timing and moon illumination to build multiple models.
- Built a random forest and SVM model to predict the temperature, humidity, pressure, and moon phases of any location.
- Used python libraries like pandas, numpy, matplotlib, seaborn, and scikit-learn for data preprocessing, visualization, and model building.
- Used FastAPI for building the APIs.
- Built a responsive frontend web app using React with tailwind CSS, along with MUI.
- Features
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