Best Career Prediction

Our premium product, Best Career Prediction, boasts an 85-90% accuracy through deep learning based on 100K+ Kundali researched and validated by the AstroNidan team.

You will get answers to the following - 

1. What's the best career path for me?
2. Is it possible for me to succeed in multiple career paths?
3. Can you help me determine if I have the capability to be an entrepreneur?
4. Why do I experience frequent changes in my job?
5. Which other factors impact the direction of my career?
6. Which career path should I choose for my son or daughter?

It is quite challenging to predict one's ideal career through astrology. At some point in our lives, we all wonder if our current career path is the best fit for us. Receiving early guidance on one's career can be extremely helpful in terms of achieving wealth and recognition. This can help prevent the wastage of valuable time and money.

Classical astrology books such as Brihat Parashara Hora Shastra, Uttara Kaalamrit, Bhavarth Ratnakar, Sarvarth Chintamani, Laghu Parashari, and Madhya Parashari provide various principles for predicting professions. However, using the human mind to apply these principles can lead to a lot of errors. This is because there are now thousands of professions available for people to choose from.

In AstroNidan, we have programmed thousands of logical statements in Python language and trained and validated them through multiple AI/ML models over 100,000 Kundalis for best profession prediction.

Some of the salient features are - 

1. Greater than 85% accuracy
2. Validated over 100,000 Kundali
3. Prediction of the three most suitable career option
4. Visual prediction sub-career within the main category of career option
1. Entrepreneurship capability analysis
2. Effect of mobility, varna & element in your career
5. Report unique to your Kundali details
6. High level of specificity and sensitivity 
7. Does not suffer the problem of repeatability and reproducibility like a human astrologer

We have a team of Data Scientists, ML Scientists, Data Engineers, Sanskrit Scholars, Astrology Researchers, and Python Programmers engaged from top universities (IIT, IIM, JNU & BHU), who have worked tirelessly to build this product.

We have used semi-supervised learning methods to explore hidden patterns & combinations and evaluated numerous ML models such as Neural networks, SVM, Random Forest, and gradient Boosting algorithms. We shortlisted the best-performing ML models and fine-tuned them further through our robust feature selection process.