
#About Me Aspiring tech entrepreneur studying AI & ML at SRMIST. Passionate about blending technology with business innovation. Skilled in AI-ML Tech.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aero-Controllers
March 1, 2026 – Present
Autonomous drones relying solely on onboard sensor readings tend to drift off their planned path due to external disturbances and sensor noise. This project focuses on building an intelligent model that detects and corrects sensor errors in real time, ensuring stable path tracking and reliable navigation from start to destination.
View ProjectCattle-Go
September 26, 2025 – Present
CattleGo is a smart livestock management app that helps farmers and researchers identify Indian cattle breeds using AI-based image recognition. It combines machine learning, real-time detection, multilingual support, and a RAG-based chatbot to make livestock management more accessible and efficient.
View ProjectAgro-Visionaries-UI
March 22, 2025 – Present
Agro-Visionaries by Asteri is an AI-powered platform revolutionizing modern agriculture. By leveraging cutting-edge AI and data analytics, it provides smart insights, optimizes farming processes, and enhances productivity. Our mission is to empower farmers with intelligent solutions for sustainable and efficient agriculture."
View ProjectDSA-C-Practice-
February 16, 2025 – February 16, 2025
DSA-C-Practice- — GitHub repository
View ProjectHotel-Management-System-using-Python
February 15, 2025 – February 15, 2025
Hotel Management System using Python
View ProjectMedical-Diagnosis-Extraction
September 20, 2024 – Present
Medical-Diagnosis-Extraction — GitHub repository
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal projects, many of which involve AI/ML and data-related themes, aligning with a Data Scientist role. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit. The diversity of technologies used across projects (Dart, Python, C++, JavaScript, Java) suggests a broad interest in different domains, which could be a positive for adaptability.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions indicate an ability to work on complex technical problems, but there is no information on collaboration, communication, or problem-solving approaches in a team setting.