- 🎓 Computer Science & Engineering Student
- 🤖 Passionate about Artificial Intelligence & Machine Learning
- 🐍 Strong interest in Python, Data Science & Machine Learning
- 👁️ Exploring Computer Vision & Deep Learning
- 🧠 Interested in Generative AI & Prompt Engineering
- 🌱 Building AI solutions for sustainability & environmental problems
- ⚡ Working on renewable energy forecasting
- 💻 Developing practical AI-powered software applications
- 🏆 Coding competition winner and active technology learner
- 📄 IEEE Research Paper Author in AI-driven carbon emission prediction
"The best technology is not just intelligent — it solves meaningful problems. I believe AI can transform ideas into practical solutions that create measurable real-world impact."
Goals:
- 🤖 Build production-ready AI/ML applications
- 🧠 Explore Generative AI and LLM-powered systems
- 📊 Strengthen Data Science and Machine Learning expertise
- 🌱 Build more AI solutions for sustainability
- 📄 Publish impactful AI/ML research
- 💻 Contribute to meaningful open-source projects
- 🚀 Build scalable AI-powered software products
- 🏆 Participate in more coding competitions and hackathons
🤖 ARTIFICIAL INTELLIGENCE TOOLKIT
┌──────────────────────────────────────────────────────────────────────┐
│ 🧠 Machine Learning 📊 Data Science 🤖 Generative AI │
│ 👁️ Computer Vision 🔥 Deep Learning 📝 Prompt Eng. │
│ 📈 Predictive Modeling ⚡ Model Evaluation 🧩 AI Applications │
│ 🐍 Python Development 🔬 Research 🚀 Deployment │
└──────────────────────────────────────────────────────────────────────┘
🌱 AI FOR REAL-WORLD IMPACT
┌──────────────────────────────────────────────────────────────────────┐
│ 🌍 Sustainability ☀️ Renewable Energy ♻️ Carbon Analysis │
│ 📊 Forecasting 🔥 Detection Systems 🧠 Smart Solutions│
│ 🌱 Environmental AI ⚡ Energy Prediction 📈 Data Analytics │
└──────────────────────────────────────────────────────────────────────┘
AI-powered application focused on carbon footprint analysis and sustainability insights.
Tech: Python • Streamlit • Groq API • Joblib • Machine Learning
📄 Published IEEE Research Paper — ICDBML 2026
Machine learning based forecasting system designed to predict solar power generation using historical energy data.
Tech: Python • ANN • Machine Learning • Data Science
Real-time computer vision system for detecting fire and analyzing fire-related characteristics.
Tech: Python • OpenCV • YOLOv8 • Computer Vision
AI-powered expense splitting application that intelligently processes expense information and simplifies group expense management.
Tech: React • Vite • Tailwind CSS • FastAPI • SQLAlchemy • SQLite • JWT • AI APIs
Desktop-based chat application with database-backed user and messaging functionality.
Tech: Java • MySQL • Database Management
Machine_Learning:
- Supervised Learning
- Unsupervised Learning
- Classification
- Regression
- Clustering
- Feature Engineering
- Model Evaluation
Deep_Learning:
- Artificial Neural Networks
- CNN
- Model Optimization
- Computer Vision
- Real-Time Detection
Data_Science:
- Data Cleaning
- Exploratory Data Analysis
- Data Visualization
- Feature Analysis
- Predictive Modeling
- Time-Series Forecasting
Generative_AI:
- Prompt Engineering
- LLM Applications
- AI APIs
- AI-Powered Applications
- Intelligent Information Processing
Research:
- AI for Sustainability
- Carbon Emission Prediction
- Renewable Energy Forecasting
- Applied Machine Learning
2026
Working on practical AI and Data Science projects, focusing on data analysis, machine learning, predictive modeling, and real-world business applications.
2026
Developed Python-based software applications and GUI projects while strengthening programming, problem-solving, and software development skills.
- 📚 IEEE Research Paper on AI-driven carbon emission prediction
- 🌱 Research focused on applying AI/ML to sustainability and environmental analysis
- 🥇 CODE HUNT — Winner
- 🏅 Google Prompt Wars — Rank 572 / 10,000
- ☁️ Google Cloud
- 🧠 NVIDIA
- ☁️ Salesforce
- 🏢 Oracle
- 🤖 Google Gen AI Academy
Currently_Learning:
Artificial_Intelligence:
- Generative AI
- Large Language Models
- AI Agents
- Prompt Engineering
- AI Application Development
Machine_Learning:
- Advanced Model Optimization
- Feature Engineering
- Ensemble Learning
- Time-Series Forecasting
- Predictive Analytics
Deep_Learning:
- Neural Networks
- CNN Architectures
- Computer Vision
- Model Deployment
Software_Development:
- Scalable Backend Systems
- Full-Stack Applications
- REST APIs
- Database Design
Research:
- AI for Sustainability
- Renewable Energy Intelligence
- Environmental Prediction
Career_Goals:
AI_ML:
- 🚀 Build production-ready AI applications
- 🤖 Develop advanced ML/GenAI projects
- 🧠 Strengthen Deep Learning expertise
Research:
- 📄 Publish more AI/ML research
- 🌱 Work on AI for sustainability
- 🔬 Explore innovative AI applications
Development:
- 💻 Build scalable software products
- 🌐 Improve full-stack development
- ⚙️ Learn modern deployment practices
Community:
- 🌍 Contribute to Open Source
- 🏆 Participate in hackathons
- 🤝 Collaborate on meaningful projects
| 🤖 AI/ML | 🌱 Sustainability | 💻 Software |
|---|---|---|
| Machine Learning | Carbon Prediction | Python Applications |
| Deep Learning | Renewable Energy | Web Applications |
| Computer Vision | Environmental AI | Backend APIs |
| Generative AI | Energy Forecasting | Database Systems |
Interested_In:
- 🤖 AI & Machine Learning
- 🧠 Generative AI & LLM Applications
- 📊 Data Science Projects
- 👁️ Computer Vision
- 🌱 AI for Sustainability
- ☀️ Renewable Energy Intelligence
- 💻 Software Development
- 🚀 Innovative AI-Powered Applications
- 🤝 Open Source & Research Collaboration