🎓 B.Tech in Artificial Intelligence & Machine Learning (2023–2027)
📍 Based in Hyderabad, India 🇮🇳
💡 Passionate about solving real-world problems using ML & AI
🛠️ Skilled in backend systems and smart UI/UX for ML apps
🎯 Hackathon participant, builder, and lifelong learner
Real-time web app that predicts Iris flower species using ML
- 🔍 Features: Petal & Sepal classification
- 🧠 Models: Scikit-learn
- 🌐 Tech: Django + Tailwind CSS + Matplotlib
Predicts drugs based on user health input
- 💉 Features: Age, BP, Cholesterol, Na/K Ratio
- 🤖 Models: Decision Tree, Random Forest, XGBoost
- 🛠️ Tech: Django + Streamlit + Pandas
🛡️ DetectAI
Detects deepfakes with AI to ensure media authenticity
- 🧠 Tech: DeepFace, OpenCV, CNN
- 📦 Upload UI + confidence feedback
- 🌐 Built with Django + DL models
| Category | Tools |
|---|---|
| Languages | Python, JavaScript, Java, SQL, C, HTML/CSS |
| Frameworks | Django, Streamlit, Bootstrap, Tailwind CSS |
| ML/AI | Scikit-learn, YOLOv8, OpenCV, DeepFace, TensorFlow |
| Tools | Git, VS Code, Postman, Heroku, Render |
- 🤖 Deep Learning: CNNs, Transformers
- 🧠 YOLOv8 and real-time object tracking
- 📈 Building full-stack ML dashboards
- 💬 Smart Campus tools using AI for education
🎯 Face Biometric Attendance System
→ Real-time face recognition and auto-attendance
→ Admin dashboard + CSV export
→ Built using Django, OpenCV, Deep Learning
→ Created during a 36-hour hackathon!
- 📧 Email: marikantinitish@gmail.com
- 🔗 LinkedIn: linkedin.com/in/your-link
- 🌐 Portfolio: Coming Soon...
If you found my projects useful, feel free to star ⭐ them or reach out for collaboration!
“Code not just to function, but to solve real-world problems beautifully.” 🌍
Build. Break. Learn. Repeat.