AI Engineer | Software Engineer
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Image-Captioning-System
July 14, 2025 – Present
Captioning (describing) the images using the model (CNN + LSTM) trained on the tailored dataset of the college campus
View ProjectBottle-Inspection-System
June 20, 2025 – June 20, 2025
Developed an automated system for assessing the overall quality of bottles using computer vision techniques
View ProjectWater-Quality-Contamination-Classification
June 19, 2025 – June 19, 2025
Machine learning models to predict water contamination using environmental data from India (2012–2023). Includes preprocessing, feature analysis, and classification using Scikit-learn and XGBoost.
View ProjectSkinDiseaseClassification
June 19, 2025 – June 19, 2025
This project focuses on classifying skin diseases using deep learning. We utilized pretrained VGG16 and NASNet models on a publicly available Kaggle skin disease dataset. The models achieved 89% (VGG16) and 91% (NASNet) classification accuracy. The goal is to support early and accurate detection of skin conditions through automated image analysis.
View ProjectRiverWaterQualityDataset
June 17, 2025 – June 17, 2025
A curated dataset of river water quality dataset of Indian Rivers for the year from 2012 to 2023
View ProjectGearshift
March 2, 2025 – March 2, 2025
This is a car selling website named Gearshift we used HTML, CSS, JavaScript we only sell cars from 4 brands Ferrari, Aston Martin, Koenigsegg, McLaren, User can login and order the car they wishes to buy
View ProjectBEE-HEALTH-EVALUATION
November 15, 2024 – November 15, 2024
Evaluating the health of bees using a custom build CNN model . dataset link :https://www.kaggle.com/datasets/jenny18/honey-bee-annotated-images/data
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic in nature, indicating a strong self-driven learning approach. However, there is no information regarding team collaboration, open-source contributions, or engagement in broader technical communities, which are often indicators of cultural fit in a professional setting. The projects show a clear alignment with the target role of Data Scientist, but the lack of diverse project types (e.g., open-source, professional team projects) limits a comprehensive cultural fit assessment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, limiting insight into collaboration, problem-solving approaches, or communication style.