Hi 👋, I'm Harsh Gautam, a passionate Machine Learning Enthusiast and Software Developer from India. I am currently in my pre-final year pursuing B.Tech in Computer Science and Engineering at GLA University, Mathura. With a strong foundation in programming, data science, and machine learning, I thrive on solving complex problems and building innovative solutions. My journey is defined by a relentless pursuit of excellence, from developing AI-powered applications to leading tech communities.
- 🔭 I’m currently working on "Cybershield" and "Vishuddh AI".
- 🌱 I’m currently learning Generative AI, DSA, LangChain, and Advanced Machine Learning.
- 👯 I’m looking to collaborate on projects related to Machine Learning, Generative AI, and Software Development.
- 👨💻 All of my projects are available at GitHub.
- 📫 How to reach me: hgqeir@gmail.com.
- 📄 Know about my experiences: Resume.
- ⚡ Fun fact: I actively participate in basketball, spiritual activities, music, and literature.
- Developed an AI-powered portal to monitor cleanliness and sustainability practices in post offices.
- Integrated image processing models for detecting deviations from Swachhta Action Plan (SAP) 2024 standards.
- Designed a user-friendly dashboard for real-time monitoring and data visualization.
- Developed a voice-controlled elevator interface using Vosk and Whisper for speech recognition.
- Integrated eye tracking and touch interaction for a versatile user experience.
- Created a GUI for real-time elevator status updates with text-to-speech feedback.
- Built a website for deepfake AI detection across audio, video, and images.
- Leveraged advanced neural networks (CNNs and RNNs) for media analysis.
- Achieved high accuracy in detecting manipulated media.
- Developed a machine learning system for analyzing sentiment in audio recordings.
- Used CNNs and RNNs (LSTMs) for analyzing temporal and local audio features.
- Compared the performance of neural network models with traditional classifiers like SVM and Random Forest.
- Built a machine learning model to predict diabetes based on diagnostic data.
- Achieved 90% accuracy with an optimized XGBoost model.
- Performed extensive data preprocessing and feature correlation analysis.
- 1st Runner-Up in MarketWise ML Hackathon at IIIT Nagpur.
- 1st Runner-Up in Techno Business Hackathon at Jaipuria Institute of Management, Noida.
- Finalist in SPHINX 24Hr Hackathon at MNIT Jaipur, among 2000 teams.
- Finalist in HackCBS 7.O
- Visiting Student at IIT Gandhinagar, selected based on academic performance.
- Gold Badge on CodeChef (500+ problems) and 300+ questions on LeetCode.
- Ranked among the Top 1% in NPTEL courses on Management Information System and Software Engineering.
- Led and managed all activities, including workshops, coding competitions, and tech talks.
- Organized events on modern technologies and best practices in software development.
- Overlooked club operations, budget management, and recruitment efforts.
- Led web development features for the EII website, enhancing user engagement and traffic.
- Mentored junior developers in best practices for web development and version control.