School of Biochemistry DAVV, Indore

Admission open 2026-2027

Theme 2 Environment sustanability amd emergy technology .
Co- PI Dr. Meeta Jain

The School of Biochemistry, DAVV successfully organized an expert lecture on “AI Driven Tools for Enhanced Learning and Intelligent Research” on the occasion of National Science Day 2026.
The session provided valuable insights into various AI tools used for smart learning, research data analysis, scientific writing, and innovation. The speaker Dr. Prerna Jain explained practical applications of Artificial Intelligence in academics and research, making the session highly informative and engaging for students and faculty members.
The lecture was interactive and inspiring, encouraging participants to explore AI for enhancing their academic and research excellence.

Celebrate National Science Day 2026 with Us!
The School of Biochemistry, DAVV is organizing an expert lecture on
“AI Driven Tools for Enhanced Learning and Intelligent Research”
🗓 Date: 28th February 2026 (Saturday)
⏰ Time: 02:00 PM – 03:00 PM
📍 Venue: School of Biochemistry, DAVV
🎙 Speaker: Dr. Prerna Jain
Assistant Professor, ILVA College, Indore
Join us as we explore how Artificial Intelligence is transforming education and research, making learning smarter and innovation faster.

Dear MSc I-semester students,
You have successfully completed an important phase of your academic journey. Your hard work, discipline, and dedication are truly appreciated. Take this time to relax, reflect, and recharge. Remember, this is just the beginning of a bright and promising future in biochemistry. Keep learning, keep questioning, and keep growing. Wishing you continued success ahead.

From Lab to Life: Illuminating the Journey of DAVV Biochem Achievers: Last year's (2024) alumni meet at DAVV's School of Biochemistry highlighted success stories including placements, opportunities for higher studies and research, key achievements such as skills, projects, and inspirational quotes, presented as an engaging narrative and spotlight series for current students, utilizing data on highest packages to underscore success.