Raushan Kumar

🏆 Yudhya Hackathon (2nd Runner-Up - AI in Dental)
I secured the 2nd Runner-Up position at Yudhya Hackathon, where I developed AI in Dental, an AI-powered dental diagnosis system that assists dentists and healthcare professionals in detecting dental diseases using image-based machine learning models. The platform focused on early detection of:

Cavities and tooth decay
Gum diseases like periodontitis
Orthodontic anomalies and misalignment
✅ Key Features:

Image scanning using AI: Users could upload dental X-rays or images for automatic analysis
Deep Learning (CNNs): The model analyzed patterns in images to classify dental conditions
Real-time diagnostic suggestions: The system provided instant feedback and risk assessments
User-friendly dashboard: Integrated a clean UI for dentists to interact with results easily
✅ Technologies Used:

Machine Learning (CNNs, TensorFlow, OpenCV)
Google Teachable Machine for medical image classification
Python (Flask, NumPy, Pandas)
Web Development (HTML, CSS, JavaScript, Node.js, Express.js)
🚀 Hackathena & Define 3 (Finalist)
I was a finalist at two prestigious hackathons, Hackathena and Define 3, where I worked on innovative solutions, collaborated with talented individuals, and tackled real-world challenges.

Define 3 - SolarWise: AI-Powered Energy Optimization Platform
At Define 3, I built SolarWise, a machine learning-driven energy optimization platform designed to help users maximize their solar energy usage and reduce electricity costs. The platform utilized predictive analytics and smart scheduling to optimize energy consumption based on real-time factors such as:

Time-of-Use (TOU) tariffs for cost-efficient energy consumption
Solar panel efficiency prediction using historical weather data
AI-driven energy forecasting to suggest best times for energy usage
Smart appliance scheduling to automate device usage based on optimized patterns
✅ Technologies Used:

Machine Learning (Regression models, Time Series Forecasting)
Python (Pandas, NumPy, Scikit-learn)
Web Development (JavaScript, Node.js, Express.js)
Data Visualization (D3.js, Chart.js)
🌟 Key Takeaways from My Hackathon Journey
Gained real-world problem-solving experience in AI for Healthcare and Sustainable Energy Solutions
Improved technical expertise in Machine Learning, Deep Learning, and Full-Stack Development
Strengthened team collaboration and project execution skills under hackathon time constraints
Successfully integrated AI models into interactive, user-friendly web applications
Applied ML algorithms for predictive analytics, energy optimization, and medical diagnosis
My ability to build impactful solutions using AI and web technologies has been evident through these hackathons. Each project demonstrates my innovation, technical depth, and problem-solving mindset, reinforcing my passion for developing solutions that create real-world impact. 🚀💡