Development Film Festival

The Development Film Festival in India is a platform for film makers to showcase their works on themes concerning the development of the poor and vulnerable communities. The Centre for Development Communication of DHAN Foundation organises the festival. The festival is organised every year on a theme in development.

Inception and growth of the festival

The past four festivals were organised at Madurai, the city known as a seat of learning since the Sangam periods dating back to 4th century B.C, The first festival focused on poverty, from the perspective of water, environment, gender, education, health and culture. The second festival focused on Water and life. The third festival focused on 'Water and People'. The fourth festival focused on ‘Culture and Heritage’. The fifth festival focused on ‘Fight Poverty: Connect and Commit for MDGs’, which was held in Chennai.

The films for screening were selected by a panel of film makers, development practitioners and academicians. Films were screened to the public of Madurai, including school and college students. Best films were awarded.

2013 Festival (9th): Youth for Change

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2010 Festival (6th): Democracy and Development

The 2010 Development Film Festival showcased documentaries, short films and animation films on the themes of Poverty and Democracy, Good Governance, Transparency and Accountability, Self–Help, Human rights and Democracy.

2009 Festival: Fight Poverty-Connect and Commit for Millennium Development Goals

The 2009 Development Film Festival brought film makers together to showcase the themes of Women and Children, Livelihoods, Food security, Education, Health, and Environment.

gollark: If you want to do text you could just use a normal text-only model.
gollark: They generally still require attribution.
gollark: Update update: unfortunately, I cannot achieve low enough validation error to make this actually usable. Probably it would work better if the OCR thing were more accurate (there are issues with spacing), and if I rated memes from a dataset as "good" or "bad" instead of having "good" and "bad" sets from separate places (but this would take too long). I might put the mostly nonfunctional thing on github or something.
gollark: Update on the automatic meme classification thing: after far too much time dealing with various dependencyish issues, my stuff is being run through CLIP and extremely janky OCR then a sentence embedding model. I will begin work on actually implementing a classifier once the script finishes running on everything.
gollark: I mean, it's probably a better metric than picking randomly.

References
  1. http://www.dhan.org/dff/callforproduction.php
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