Electronics & Telecommunication Engineering Student | ML & IoT Enthusiast | Python Developer | Building innovative real-world solutions
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Shop_Analytics_App
June 15, 2026 – Present
AI-powered billing, stock & revenue analytics for shops with multiple outlets. Built with Streamlit, SQLite, pandas, plotly, and scikit-learn.
View Projectdhundho
June 15, 2026 – Present
AI-powered tool to find products spotted in Instagram reels — upload a screenshot, AI identifies it, get instant shopping links across Amazon, Flipkart, Myntra & more.
View Projectimdb-sentiment-analysis
June 8, 2026 – Present
A Machine Learning based NLP project that classifies IMDB movie reviews as positive or negative using TF-IDF and Logistic Regression.
View Projectsalary_pred
April 20, 2026 – Present
It takes input data (like years of experience, degree, job title, etc.) and predicts how much salary someone should earn using patterns learned from past data.
View Projectobject-detection-using-yolo
April 1, 2026 – Present
object-detection-using-yolo — GitHub repository
View ProjectSalary-prediction-using-linear-regression-ML
March 30, 2026 – Present
Salary-prediction-using-linear-regression-ML — GitHub repository
View ProjectSmart-Civic-Complaint-System
March 30, 2026 – Present
Smart public grievance platform for complaint submission, AI routing, and status tracking.
View ProjectSmart-Travel-Planner
March 30, 2026 – Present
AI-powered travel planner with budget-based recommendations and live weather
View Projectcrop-yield-predictor
March 4, 2026 – Present
AI-powered Smart Farming Dashboard using Machine Learning
View ProjectCultural Fit Analysis
The candidate's portfolio consists entirely of personal projects, indicating self-motivation and a passion for applying AI/ML. The diversity of projects (e.g., e-commerce analytics, product identification, civic complaints, travel planning, smart farming) suggests a broad interest in problem-solving using data science. However, the lack of team-based projects or professional experience makes it difficult to assess collaboration or fit within a structured team environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions suggest an ability to conceptualize and execute AI-driven solutions independently.