
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
TechStart
May 9, 2026 – Present
TechStart is an AI-driven educational platform built using Django, FastAPI, and a fine-tuned Small Language Model (SLM). The system provides beginner-friendly topic explanations, quiz generation, and answer evaluation in multiple languages through an interactive web interface.
View ProjectMovieRecommendation
May 2, 2026 – Present
Develop a Movie Recommendation system that would suggest top 5 movies based on user input.
View ProjectTechStart
September 3, 2025 – Present
TechStart is a next-generation, AI-driven Learning Management System (LMS) developed as a Major Project. It bridges the gap between theoretical learning and practical execution.
View ProjectRainfall_AnalysisUsingML
May 2, 2025 – Present
Rainfall prediction using Linear Regression, Random Forest, Decision Tree, and SVR with EDA, visualizations, and model comparison on historical climate data.
View ProjectRainfall_Analysis
May 2, 2025 – Present
Exploratory analysis of historical Indian rainfall data state-wise comparisons, year-wise trends, drought pattern detection, and interactive visualizations using Pandas, Seaborn, and Plotly.
View ProjectEmailAnsweringAiAgent
April 22, 2025 – Present
Python AI agent that reads your Gmail inbox and uses Gemini 1.5 Flash to generate intelligent, context-aware email replies powered by Gmail API and OAuth 2.0.
View ProjectSmartSupport
March 22, 2025 – Present
SmartSupport : A Django-based campus issue management system that allows students to raise maintenance tickets and enables admins to track, verify, and resolve issues efficiently through a centralized dashboard.
View ProjectCultural Fit Analysis
The candidate's portfolio demonstrates a strong interest in AI, machine learning, and web development, aligning well with innovative and tech-driven environments. The diversity of personal projects, from educational platforms to data analysis and predictive modeling, suggests adaptability and a broad technical curiosity. The focus on practical application and problem-solving indicates a results-oriented mindset. However, without specific cultural fit assessment data, this analysis is based solely on project types and descriptions.
Soft Skills & Operational Fit
The candidate's project descriptions suggest a proactive and self-directed learning approach, which is beneficial for operational fit. The focus on AI-driven solutions and problem-solving (e.g., campus issue management) indicates an ability to apply technical skills to real-world challenges. However, without psychometric test results or interview data, a comprehensive assessment of soft skills like teamwork, stress handling, and communication clarity is not possible.