SUMMER FORGE // RESEARCH INTERNSHIP TRACK
TRACK_02
Turn curiosity into research proof.
Work on literature reviews, AI/ML experiments, datasets, XAI, visualizations, technical writing, and paper-oriented research pipelines.
Deadline: 27th June, EOD
Notes
Emphasize rigorous methodology.
TRACK_01
Target Audience
AI/ML learners
Research writers
Literature review contributors
Data analysis students
Focus Areas
REF: R-01
AI/ML & Deep Learning
Core model architectures, training paradigms, and evaluation metrics.
REF: R-02
XAI & NeuroAI
Explainable AI techniques and intersections with EEG data.
REF: R-03
Medical AI
Applications of machine learning in healthcare and diagnostics.
Workflow Protocol
01
Read
02
Review
03
Experiment
04
Visualize
05
Document
06
Present