Artificial IntelligenceMachine LearningNatural Language ProcessingStudentInnovation
Event Type
in person
71
Participants
6
Est. Projects
Organizers
Alex Johnson
alex@example.org
Jamie Rivera
jamie@example.org
Sam Chen
sam@example.org
Quality Score
Quality Score
72/100
High confidence
Organiser16/20
Event Maturity14/20
Sponsors18/25
Participants12/20
Team Composition:
Size: 1–4 members.
Affiliation: All members must be from the same college.
Flexibility: Inter-departmental and inter-year teams are allowed.
Competition Guidelines:
Objective: Develop a Gen-AI/LLM solution based on the provided topic and dataset.
Tools: Open-source frameworks (LangChain, HuggingFace, etc.) are encouraged.
Originality: All work must be original; plagiarism results in disqualification.
Submission & Selection:
Dataset: Use only the provided dataset for your solution.
Final Round: Shortlisted teams will present in a hybrid format (at Jadavpur University or virtually).
Judging: Based on innovation, technical execution, and accuracy.
