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Pursuing B.Tech in Computer Science and Engineering at UVCE (2023–2027)
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Music-Recommendation-System
January 17, 2026 – Present
Machine learning–powered music recommendation system using cosine similarity and precomputed feature vectors
View Projectsanjanabh127.github.io
January 14, 2026 – Present
sanjanabh127.github.io — GitHub repository
View ProjectCurrency-Converter-Java
January 2, 2026 – Present
Console-based currency converter using a live exchange rate API in Java, developed using IntelliJ IDEA.
View ProjectFacial-Emotion-Detector
December 30, 2025 – Present
Human facial emotion detection system using CNNs in Python, developed in PyCharm and deployed with Flask to classify emotions
View ProjectAI-Calculator-Full-Stack
December 27, 2025 – Present
AI Handwritten Calculator is a full-stack application that allows users to draw handwritten mathematical expressions on a canvas and compute the result using AI vision models.
View ProjectCredit-Card-Fraud-Detection
December 24, 2025 – Present
Machine learning–based credit card fraud detection system built with scikit-learn and deployed using Streamlit for real-time transaction prediction.
View ProjectCrop-Yield-Prediction
December 23, 2025 – Present
Crop Yield Prediction is deployed using Flask and PyCharm, leveraging multiple machine learning regression models such as Linear Regression, KNN Regressor, Lasso, Ridge, and Decision Tree Regressor.
View ProjectCar-Price-Prediction
December 2, 2025 – December 2, 2025
A machine learning project + Pycharm project that predicts car prices.This project includes One-Hot Encoding , Linear Regression modeling, Pipelines, and model performance evaluation
View ProjectCultural Fit Analysis
The candidate shows initiative through a diverse range of personal projects, indicating a self-starter mentality. The projects span various domains within data science and machine learning, suggesting a broad interest in the field. However, without information on team-based projects or professional experience, it's difficult to fully assess cultural fit beyond individual drive.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate an ability to complete personal projects, but provide no insight into collaboration, problem-solving under pressure, or communication in a team setting.