Student Talks

Why Speak?

We invite engaging, innovative and quality proposals for student-led talks in the upcoming seminar series. Share your knowledge, spark discussions and inspire the Python community with your ideas!

⚠️ Proposal Submission Deadline: 20th September 2025, more info about event dates will be shared in due time.

About Organizers

ML Series - A student-led initiative centered around AI-ML, started by the LogicLooM organizing team. Click Here to know more.

π^2−SEMINAR - This is an instructor (POD) led initiative designed to foster knowledge-sharing in Mathematical, Data Science, ML, AI and Programming topics, empowering students to learn, present and grow together.

Format

📢 Talks are 30–60 minutes long, focusing on Python and its ecosystem. Anything exciting, insightful or thought-provoking for Python programmers is welcome — from research to culture!

Diversity & Inclusion

We strongly believe in diversity of voices. We encourage students from all levels to share their experiences, ideas and perspectives.

Speaker - Best Practices

Submit clear, detailed proposals (avoid vague ideas). Please choose your target audience - whether the content will be valuable for beginner or intermediate level attendees.
Talks will be in English. Don’t worry too much about communication skills - focus on content
If you need some assistance on what to propose or how to draft the submission, check out this ref. guide.
Add as much detail as possible to the proposal. More detail helps reviewers make better approval decisions.
Share lessons from using Python in real projects, ideas for improving the language or ecosystem, or insights from other languages that can benefit Python. If nothing else, a clear, beginner-friendly teaching session on a niche topic (maybe a recent technology or a scientific paper) is always welcome.

Domains

Python Core & Performance

Internals, libraries, Cython and performance improvements.

AI, ML & Data Science

DL, LLMs, multimodal AI, reinforcement learning, analytics, NLP, computer vision.

Cloud, DevOps & Infra

AWS/GCP/Azure, CI/CD pipelines, etc.

Web, Desktop & Full Stack

APIs with FastAPI/Django, Desktop Apps (PyQt, Tkinter), scalable systems.

Hardware, Edge & IoT

Robotics, automation, embedded systems, IoT.

Research & Education

Python in scientific computing, physics, chemistry, climate, medical research, teaching.

Community

Diversity, culture, ethics, tech & societal impact

Emerging Tech

Quantum computing, blockchain, green computing, Python in FinTech & trading.

Call for Proposals

ML Series – Wayanad × IITM BS's Pi-Square Seminar
A celebration of innovation, learning & collaboration