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Automatic-Image-Captioning-using-CNN-LSTM-deep-neural-networks-and-flask
April 25, 2019 – December 8, 2022
Image caption generation has emerged as a challenging and important research area following ad-vances in statistical language modelling and image recognition. The generation of captions from images has various practical benefits, ranging from aiding the visually impaired, to enabling the automatic and cost-saving labelling of the millions of images uploaded to the Internet every day. The field also brings together state-of-the-art models in Natural Language Processing and Computer Vision, two of the major fields in Artificial Intelligence. In this model, we has used CNN and LSTM to generate captions for the images and deployed our model using Flask.
View ProjectDisease-Prediction-system-using-Machine-Learning-and-Flask
January 4, 2019 – April 6, 2024
This is a disease prediction system based on symptoms build using Machine learning and Flask.It also enables nearest hospital searching through Google GeoLocation API.
View ProjectFlask-caption
December 25, 2018 – December 25, 2018
This is a Python library to generate captions for the images with Flask Rest-API
View ProjectChatbot-using-machine-learning-and-flask
December 16, 2018 – December 16, 2018
It is a Python project that that generates automated responses to a user’s input. It uses a selection of machine learning algorithms to produce different types of responses.
View ProjectSocial-Network-using-php-and-mysql
December 7, 2018 – September 9, 2022
This is a social network which resembles the functionality like Facebook in which users can register, login, post things, chat with friends, receive notifications, search for friends , friend requests etc..
View ProjectDisease-prediction-using-Machine-Learning
November 13, 2018 – August 14, 2024
This Machine Learning project is used to predict the disease based on the symptoms given by the user.It predicts using three different machine learning algorithms.So,the output is accurate.It uses tkinter for GUI.
View ProjectDetecting-Emotion-from-live-camera-using-CNN-Deep-Learning
October 16, 2018 – January 3, 2020
This project detects the faces in the live camera and puts the appropriate emotion near to the face.Contributions are welcomed.
View ProjectText-to-Speech-converter-using-Python-and-gTTS
October 2, 2018 – October 2, 2018
It converts the text into an audio which is very accurate and correct.
View ProjectHandwritten-digit-recognition-web-app-using-machine-learning-and-flask
September 24, 2018 – Present
It recognizes the digit written on the editor provided in the interface and displays the result which is predicted .
View ProjectEverything-in-the-face-using-opencv-and-cognitive-services
March 3, 2018 – November 13, 2018
This application detects everything in the face including age,gender,emotion,skintone,makeup and many more.I have been used cognitive services to get access to face api.I used python to code and opencv library to implement the application.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic in nature, focusing heavily on Machine Learning and AI. While this demonstrates initiative, the lack of team-based projects or diverse technology stacks beyond Python and basic web technologies (HTML, CSS, JavaScript, PHP) suggests a potentially narrow focus. The target role 'Software Engineer' is broad, and the candidate's current project portfolio aligns more specifically with an ML Engineer or Data Scientist role, indicating a moderate fit for a general software engineering position without further evidence of broader software development skills.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a focus on technical implementation.