Trishna (1978 film)

Trishna is a 1978 Indian Hindi film directed by Anil Ganguly. The film stars Shashi Kapoor, Sanjeev Kumar and Raakhee in lead roles.

Trishna
DVD cover
Directed byAnil Ganguly
Produced byG. P. Sippy
Ramesh Sippy
Written bySachin Bhowmick
M.G. Hashmat
Amarjeet
StarringShashi Kapoor
Sanjeev Kumar
Raakhee
Music byKalyanji Anandji
CinematographyDwarka Divecha
Edited byM. S. Shinde
Distributed bySippy Films
Release date
1978
CountryIndia
LanguageHindi

It was loose remade in Kannada as Avala Hejje(1981) & Telugu as Bandhalu Anubandhalu(1982).

Plot

Dr. Sunil Gupta (Sanjeev Kumar) lives a wealthy lifestyle with his wife, Aarti (Raakhee). After several years of marriage the couple still struggle to bring a child to the world. Aarti decides to take a break and visits their Khandala bungalow, which is near her sister Vidya's (Bindu) house, where she lives with her husband (Sujit Kumar) and their son Raju. Aarti's bungalow is being decorated by Vinod (Shashi Kapoor), who was hired by Vidya and whom she remembers as a fellow from college, both spend considerable time together. Knowing that Aarti is basically alone, Vinod tries to pursue her. After an intense scuffle, Aarti accidentally kills him. Vidya assists Aarti in disposing of his body. However, a few days later, Sunil comes to Khandala and brings home a man who claims that he has lost his memory. The man is none other than Vinod - and Sunil's diagnosis indicates a gradual recovery for Vinod at the end of which he will regain his memory. The story deepens as Vidya and Aarti try to prevent this from happening.

Cast

Awards

  • Nominated, Filmfare Best Actress Award - Raakhee

Music

SongSinger(s)
"Din Ba Din Woh Mere Dil Se" Lata Mangeshkar
"Tum Pa Ra Rum Pum" Kishore Kumar
"Husnwale Kisi Ki Yaar Nahin Hote Hai" Aziz Naza
gollark: Social status assignment wants you to say *popular* things.
gollark: Social status is NOT aligned with truth really.
gollark: Not particularly!
gollark: Yes, praise the supreme sinthoverlord?
gollark: The concept of god does not have significant predictive power because it's uselessly vague.


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