Hi, I'm
Shreedhar
Khorate
AI/ML Enthusiast
Building intelligent solutions across healthcare, lifestyle, and automation domains.
Building intelligent solutions across healthcare, lifestyle, and automation domains.
I am an aspiring Artificial Intelligence and Machine Learning practitioner, focused on building a strong foundation through hands-on learning and practical projects. I am continuously developing my skills while exploring how intelligent technologies can be applied to real-world problems.
I am currently pursuing a Bachelor of Technology (B.Tech) in Information Technology at Vidyalankar Institute of Technology.
I hold a Diploma in Computer Engineering with a strong foundation in programming, data structures, and
software development. Through hands-on projects and coursework, I developed practical problem-solving
skills and an interest in emerging technologies.
Relevant Coursework: Programming Fundamentals, System Design, Core Java, Python, PHP, C/C++, Web
Development, Database Systems
Activities: National Service Scheme (NSS) Member
I completed my secondary education with a focus on science and mathematics, building a strong academic foundation and an early interest in technology and problem-solving.
Contributing to open-source projects using Git and GitHub, handling version control, branch management, pull requests, and issue tracking while collaborating with developers to improve code quality and maintainability.
Developed AI-powered web applications using Python and Flask, and built machine learning models for recommendation and prediction using scikit-learn, Pandas, and NumPy, with data visualization using Matplotlib and Seaborn for model insights.
HTML
CSS
JavaScript
Bootstrap
Tailwind CSS
Python
Java
C
PHP
MySQL
Flask
Fast API
Jinja
NumPy
Matplotlib
Seaborn
MediaPipe
Github
Git
Canva
Firebase
Figma
VS Code
PostgreSQL
Jupyter Notebook
Postman
Supabase
Android Studio
Daily commits chart.
LeetCode streak and problem stats.
AI-based disease prediction and medical scan diagnosis with voice-enabled hospital locator, emergency calling, and BMI calculator.
Generates personalized recipes based on name, cuisine, and dietary preferences using Google Gemini AI and KNN Model with AI Image Generation having clean and smooth UI.
Enables users to draw in the air using real-time hand gesture recognition powered by computer vision using OpenCV, MediaPipe, NumPy.
Developed a web-based AI brainstorming platform that orchestrates multiple large language models via OpenRouter to collaboratively solve complex problems. The system collects independent model responses, enables cross-review and ranking, and synthesizes a final answer through a chairman model using a tree-based conversation flow
AI-powered note-taking web-app that summarizes notes, and organizes them using Gemini API for enhanced productivity and generate quiz based on notes.
AI-driven cyber-deception system that lures attackers into a realistic fake site, records their actions, stores logs in the cloud, and provides real-time analytics to study intrusion behavior.
AI-powered chatbot using Gemini API for real-time, human-like responses with voice capabilities with speech-to-text and text-to-speech.
Developed using Python, Flask, and scikit-learn, implementing cosine similarity modelfor personalized book suggestions.
Built a loan eligibility prediction system using Logistic Regression to preprocess data, train the model, and predict loan approval based on user inputs.
The car racing game in VB.NET is a dynamic and interactive application where players control a car navigating through a racing track.
Developed a Java-based Hospital Management System with patient and doctor management, appointment scheduling, and secure database connectivity for efficient hospital operations
Created a web-based presentation on Rainwater Harvesting Systems, explaining their importance, working principles, types, benefits, and real-world applications to promote sustainable water management.
M.H. Saboo Siddik Polytechnic, Byculla
February 2025
Won first prize in a multi-round hackathon by developing a Java-based Dropout Rate Analysis System in just 2 hours, after clearing MCQ, debugging, and C++ DSA rounds, with the final challenge recognized as the toughest by the judges.
Anantrao Pawar College of Engineering, Pune
March 2025
Secured 2nd Runner-Up position at a national-level project showcase by presenting MedTrack - an AI-powered healthcare assistant designed to revolutionize healthcare access and management, earning praise for its innovation, real-world impact, and technical depth.
Anjuman-I-Islam's Kalsekar Technical Campus, New Panvel.
October 2025
Earned 1st Runner-Up title by presenting Sentimetrics, an AI-powered sentiment intelligence and SEO platform that analyzes real-time audience emotions to deliver actionable insights for content optimization, recognized for its innovation and real-world impact.
Atharav University, Malad.
January 2026
Achieved 2nd Runner-Up position for AgriTech project, an AI-driven solution focused on smart crop monitoring and early-stage disease detection to support farmers with timely insights, improving decision-making and enhancing agricultural productivity.
Bhararti Vidyapeeth, Kharghar.
February 2026
Gained recognition as a winner for developing AnnadataSaathi, a smart AgriTech solution combining AI insights, IoT-based monitoring, multilingual access, irrigation & fertilizer guidance, crop health detection, and simplified access to support schemes.
