A Computer Science undergraduate student at SRM University with an interest in application development, machine learning, data and artificial sciences
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Assessing your cultural and operational fit
Emousicolor
June 30, 2021 – June 30, 2021
Source Code For Work Described In Paper: "Smart and Context-Aware System employing Emotions Recognition"(https://arxiv.org/abs/2106.15101)
View ProjectRASA-Mental-Health-Chatbot
May 23, 2021 – May 26, 2021
Mental health chatbot developed in RASA Framework, to analyze person's chances of mental illness on the basis of a survey questionnaire. Have a fun conversation with the bot and uplift your mood!
View ProjectCartoonify
January 21, 2021 – March 4, 2021
Adding Cartoon effects to an Image using Python, Open CV and deploying it as a DiscordBot.
View Projectbuildlytics
January 21, 2021 – March 4, 2021
A comprehensive way to make your Exploratory data analysis process easy by using our package
View ProjectMoodyCat
September 18, 2020 – November 10, 2020
Real-time facial emotions recognizer deployed as a Streamlit application
View ProjectBank-Note-Authentication
July 31, 2020 – July 31, 2020
Bank Note Authentication website based on Random Forest Classifier, Streamlit and HTML
View ProjectHand-Gesture-Recognition-Rock-Paper-Scissor
July 16, 2020 – March 3, 2021
Hand Gesture Recognition and Modification was based on transfer learning Inception v3 model using Keras with Tensorflow backend trained on 4 classes - rock, paper, scissors, and nothing hand signs. The final trained model resulted in an accuracy of 97.05%. The model was deployed using Streamlit on Heroku Paas.
View ProjectCultural Fit Analysis
The candidate's portfolio is heavily focused on personal projects, primarily in Machine Learning and Deep Learning, which aligns well with the target role. The diversity of projects (chatbots, gesture recognition, image processing, EDA tools) indicates a broad interest within the ML domain. However, the lack of team-based or professional experience makes it difficult to assess collaboration and adaptability within a team environment. The candidate's experience level is listed as 0, suggesting this is an entry-level candidate for a senior role, which might indicate a mismatch in expectations.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a practical, hands-on approach to problem-solving. However, without psychometric test results or interview data, it is difficult to assess soft skills like teamwork, communication, or stress handling. The focus on personal projects suggests self-motivation and a drive to learn and apply new technologies.