Mohammed A.

Mohammed A.

FULL STACK FLUTTER DEVELOPER

Mumbai , India

Experience: 1 Year

Mohammed

Mumbai , India

FULL STACK FLUTTER DEVELOPER

18683.8 USD / Year

  • Start Date / Notice Period end date: 2022-04-03

1 Year

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About Me

An Full Stack Flutter Developer with 3 years of experience. During my career, I have built applications from scratch as well as optimized the already existing application. I have sound knowledge of Firebase and integration of REST APISs....

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Portfolio Projects

Description

Chumss is the simplest chatting application, ever built for the most sociable people, who just love to interact with people. With no mandatory sign-ups, Chumss is designed to rapidly connect you with people, around the world, who shares the same interest as yours. Keeping personal security in place, users can choose to be anonymous while building connections.

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Description

On-Demand App for Entrepreneurs/Management teams.

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Description

An app which fethces images and videos from Pixabay API having the following features 1. Pagination (Pull down to refresh and Pull up to load more) 2. Add or remove photos/videos to favourites 3. View favourite photos or videos 4. Detailed photo view (visit authors profile, visit photo url) 5. Video player for videos 6. Offline indicator

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Description

An app which fetched news from NEWSAPI having the following features 1. Pagination (Pull down to refresh and Pull up to load more) 2. Filter by category 3. Search articles 4. Detailed Article page 5. Share Article

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Description

A project based on Machine Learning in Python. A dataset containing 855000 observations and 72 variables belongs to a company named XYZ Corp. Based on the data that is available during loan application, my task was to build a model to predict default in the future. This will help the company in deciding whether or not to pass the loan.

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Description

A project based on Convolutional Neural Networks(using TensorFlow backend). Predict between a Cat or a Dog. The dataset contains 10000 images, 5000 belonging to Cats and the rest 5000 belonging to Dogs. The training_set contains 8000 images while the test_set contains 2000 images.

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Description

Sentiment Analysis of movie reviews using NLTK.

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Description

Recognition of handwritten text using CNN with Tensorflow

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Description

A collaborative movie recommendation system built with the LightFM Algorithm and deployed using Flask Restful API.

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