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🌱 I’m currently learning Neural Network
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👯 I’m looking to collaborate on real world projects
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💬 Ask me about Python, MongoDB, MySQL
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📫 How to reach me dharmaprakash144@gmail.com
Real-time AI system for autonomous vehicle safety
- Algorithm: Isolation Forest for unsupervised anomaly detection
- Dataset: Vehicle telemetry data (speed, acceleration, GPS, sensor readings)
- Impact: Detects unsafe driving patterns with 94% accuracy
- Tech Stack: Python, scikit-learn, Streamlit, pandas, matplotlib
- Features: Real-time monitoring, interactive dashboard, alert system
IoT + AI solution for agricultural threat detection
- Hardware: Arduino, thermal sensors, ultrasonic sensors, Wi-Fi modules
- AI Component: Pattern recognition for animal threat classification
- Achievement: 2nd Place at Pitch Perfect '24 Hackathon
- Impact: Automated detection and response to wildlife threats
Comprehensive collection of ML implementations
- Algorithms: Linear/Logistic Regression, Decision Trees, Random Forest, SVM
- Projects: Data preprocessing, feature engineering, model optimization
- Tools: Jupyter Notebooks, Google Colab, scikit-learn, pandas
| Category | Technologies | Experience Level |
|---|---|---|
| Machine Learning | scikit-learn, pandas, numpy | 🟢🟢🟢🟡⚪ Advanced |
| Deep Learning | TensorFlow, PyTorch, Keras | 🟢🟢🟡⚪⚪ Intermediate |
| Data Analysis | pandas, matplotlib, seaborn | 🟢🟢🟢🟢⚪ Proficient |
| IoT Development | Arduino, Raspberry Pi, Sensors | 🟢🟢🟢⚪⚪ Intermediate |
| Web Development | Streamlit, HTML/CSS/JS | 🟢🟢🟢⚪⚪ Intermediate |
%%{init: {'theme':'dark'}}%%
graph LR
A[🧠 Neural Networks] --> B[🔬 Deep Learning]
B --> C[👁️ Computer Vision]
C --> D[🤖 Advanced AI Systems]
D --> E[🚀 AI in Production]
style A fill:#ff6b6b
style B fill:#4ecdc4
style C fill:#45b7d1
style D fill:#96ceb4
style E fill:#feca57
- Phase 1: Mastering Neural Network architectures (Current)
- Phase 2: Advanced Deep Learning frameworks
- Phase 3: Computer Vision and Image Processing
- Phase 4: Production-ready AI systems
- Phase 5: MLOps and AI deployment strategies
| Achievement | Details | Year |
|---|---|---|
| 🥈 Hackathon Winner | Pitch Perfect '24 - Animal Threat Detection | 2024 |
| 🐍 Python Intern | CodSoft - ML Projects & Algorithms | 2024 |
| 📜 Certifications | Python, NPTEL, Git & GitHub | 2024 |
| 🤖 AI Project Lead | SDV Anomaly Detection System | 2025 |
| 📚 Research Focus | Machine Learning in Autonomous Systems | 2025 |
- 🚗 Autonomous Vehicle Safety: Developing AI systems for real-time anomaly detection in self-driving cars
- 🌱 Smart Agriculture: IoT + AI solutions for sustainable farming and crop protection
- 🔍 Anomaly Detection: Unsupervised learning for identifying unusual patterns in complex datasets
- 🌐 Edge AI: Deploying machine learning models on IoT devices and embedded systems
- 🔄 MLOps: Best practices for deploying and maintaining AI systems in production
- Complete Neural Networks specialization
- Publish research paper on SDV anomaly detection
- Contribute to open-source ML projects
- Build production-ready AI applications
- Expand IoT + AI integration expertise
- ✅ Implemented Isolation Forest for SDV anomaly detection
- ✅ Won 2nd place in hackathon with IoT solution
- ✅ Completed Python programming internship
- ✅ Built interactive ML dashboard with Streamlit
- ✅ Integrated hardware sensors with AI algorithms
I'm always excited to collaborate on:
- 🤖 AI/ML research projects
- 🚗 Autonomous vehicle technology
- 🌱 Smart IoT solutions
- 📊 Data science challenges
- 🔬 Open-source contributions
Looking for opportunities in:
- Machine Learning Engineering roles
- AI Research internships
- IoT + AI project collaborations
- Hackathons and competitions
💡 "Building the future with AI, one algorithm at a time" 💡
"Passionate about turning complex problems into intelligent solutions"