seshwarvivek

Hi! I'm Sanam Eshwar Vivek — an AI & Blockchain enthusiast currently pursuing my Summer of AI Cohort 3 (Swecha) internship.
This space tracks my learning, tasks, and contributions during SOAI 2025 and beyond.

👨‍💻 About Me

• 🎯 Interests: Artificial Intelligence, Blockchain, Java, Flutter, Networking
• 📚 Current focus: AI/ML practice, Blockchain-based student database, and Flutter app development
• 🧭 Goal for 2025: Complete internship projects successfully, strengthen core programming skills, and contribute to open-source AI/Blockchain projects

🚀 What I’m Working On

• Blockchain-based Student Database — secure and transparent academic record system
• AI/ML Mini Projects — implementing ML algorithms and real-time AI models
• Flutter Apps — experimenting with stateful/stateless widgets & Provider
• Java Practice Repo — focusing on OOP, multithreading, and exception handling
• Networking labs and simulations for real-world configuration practice

✅ SOAI 2025 – Daily Task Tracker

From intern instructions: set up profile repo, document progress, complete modules.

• Account created on code.swecha.org
• Profile repo created (eshwar_ai)
• Profile README started (you’re here!)
• Completed core courses (see checklist below)
• First contribution/merge request done
• Weekly progress update posted

📚 Courses & Learning Checklist

I’ll keep updating this section as I complete tasks.

Core

• Git & GitLab basics (clone, branch, MR, issues)
• Python for AI (functions, OOP, files)
• Data handling (NumPy, Pandas)
• ML foundations (train/test split, metrics, overfitting)
• DL intro (ANNs, activation functions)
• Blockchain basics (smart contracts, transactions)
• Java (OOP, inheritance, multithreading, exception handling)
• Flutter basics (widgets, state, navigation)

Extras (as time permits)

• Networking configs & automation
• API building (FastAPI for AI integration)
• CI/CD pipelines on GitLab
• Docker basics for deployment

🧰 Tech Stack

Languages: Python, Java, Dart
Frameworks/Libraries: Flutter, scikit-learn, NumPy, Pandas, Matplotlib, TensorFlow
Blockchain: Web3, Ethereum basics
Tools: Git, GitLab, Cisco Packet Tracer, VS Code, Jupyter

📦 Repositories & Notable Work

• 🔹 Blockchain Student Database — prototype system using blockchain
• 🔹 AI/ML Practice — notebooks on classification, prediction, evaluation
• 🔹 Java Programs — 10-mark exam prep programs (OOP, Threads, Exceptions)
• 🔹 Flutter Apps — UI experiments + state management examples
• 🔹 Networking Scripts — router & switch configs

I’ll add links here as I push code.

🗓 Weekly Progress Log

• Week 1: Repo setup, Git/GitLab basics, profile README
• Week 2: Python & Pandas refreshers, simple ML notebook
• Week 3: Blockchain prototype setup, smart contract basics
• Week 4: Flutter state management practice (setState + Provider)
• Week 5: Java programs on threads, inheritance, exceptions

(I’ll keep updating this weekly.)

🤝 How to Collaborate

1. Open an Issue with a clear summary
2. Create a feature branch (feat/short-name)
3. Submit a Merge Request with description + screenshots/notebook previews
4. Mention me for review

📫 Contact

• Email:
• LinkedIn/GitLab: @eshwar_ai

📄 License

Unless stated otherwise inside a project, code is released under the MIT License.

Notes to Self

• Keep commits small and meaningful
• Write READMEs for each project
• Maintain a progress tracker weekly
• Push updates regularly