– Internship applications are now closed .
– Thank you for such an overwhelming response.
Sorting and selection of such high quality profiles took a bit longer than expected for 500+ applicants.
– We want to support as many students as possible.Keeping this in mind, beyond the on-site internship we have added a remote “Learners” group that can learn and contribute by following the main group’s work, online.
– Please scroll-down to see the list of selected students for next round.
To intern with us on this project we have some pre requisites :
1)Must be sincere and committed .
2)Must be self motivated to finish goals
3)Must have completed at least one personal technical project , regardless of stream .
For sincere candidates we provide following Free training :
TRAINING (2 stages)
Stage 1
Python: Basics.
OpenCV: Basics, live video analysis, image operation , framing.
Python data science libraries: Numpy, Pandas.
ML basics, DNN basics.
Tools training : Phabricator , Git , project management .
Stage 2
Tensorflow low level API understanding.
Complete training on Face Recognition using Tensorflow
>Understanding general Facial recognition theory.
>Model training: triplet loss
>Face detection
>Finding landmarks
>Generating embeddings
>Recognition using Euclidian distance
Porting model on edge(embedded device )
Basic model optimisation theory
Neural Network compression
Introduction to BNN
Live Project Goal:
To build end to end scalable real-time facial recogntion system on edge device
Tasks :
>Implement Single sample per person recognition(SSPP)
>Research with goal to improve current model or find better models.
>Implement facenet architecture on lightweight neural net backbone
>Implement face tracking during inference
>Implement best classification algortithm on trained embeddings for large scale data
>Implement other distance metrics to compare the embeddings
Other Project goals :
>Studying and implement binary neural networks, Ternary Weight Networks, DorReFa-Ner
>Implement embedded BNN papers using C++
>Making FR application using BNN
We now plan to support more than one team due to the enthusiastic response received.
Students are allowed to take a project goal of their choice and expect continued support from us post internship . We may sponsor their idea if it has startup potential since the primary mission of this community is to create innovative technical startups
Selected Students for Next Round
| Name | College |
| Gourav Barnwal | IIT Bhubaneswar |
| Rushikesh Wayal | IIT Kharagpur |
| Kanishk Agarwal | IIT Kharagpur |
| Shishir Goyal | IIT Kharagpur |
| Tanya Sneh | IIT Kharagpur |
| Aditya Prakash | IIT kharagpur |
| Pranay Mandar | IIT Madras |
| Abhishek Kumar | IIT Roorkee |
| Mahesh Medam | Indian Institute Of Technology- Kharagpur. |
| Shah Nawaz Alam | Indian Institute Of Technology- Kharagpur. |
| S Uday Bhaskar | Indian Institute Of Technology- Kharagpur. |
| Jigyasa Srivastava | Indian Institute of Technology, Kharagpur |
| Nisarg Shah | National Institute of technology , karnataka |
| SHISH PAL | NIT Srinagar |
| Aryaman Sriram | Vellore Institute of Tech |
| Prakhar Priyesh | KIIT Bhubaneshwar |
| Arnav Karmarkar | PICT |
| Ankita Kulkari | PICT College |
| Pranav Gupta | MIT WPU |
| Purvi Modi | Modern Education Society’s College of Engineering , Pune |
| Shivam Sharma | IIT Bhubaneswar |
List of students who will be in learners group. Status subject to change on further rounds.
| Name | College |
| Khush Panchal | IIT Kharagpur |
| Yash Khivasara | National Institute of Technology Karnataka |
| Umesh Shahdadpuri | Indian Institute of Technology Delhi |
| Stephen masih | Kiit Bhubaneswar |
| Abhishek Kaushal | IIT kharagpur |
| Akash Pratap Singh | Indian Institute of Technology Bombay |
| Omkar Ingale | Indian Institute of Technology Bombay |
| Nikhilesh Reddy | Indian institute of information technology Pune |
| Abhinav Kumar | Indian Institute of Information Technology, Pune |
| Munish Bhardwaj | Indian Institute of Information Technology, Pune |
| Susmita Karyakarte | MMCOE |
| Aayush Upadhyay | SRM Institute of Science and Technology |
| Apoorva Pise | COEP |
| Nachiket Rajendrasing Rajput | College Of Engineering Pune |
| Chaudhari Tejas Sharad | College of engineering, pune |
| Pakhi Dahiya | IIT Delhi |
| Murali Mridhula | University of Surrey |
Those who aren’t selected for the internship. We thank them for applying and wish them luck for our future internships.
All those who are selected and are in learners group, congratulations to all of you.Please fill this google form for next round.
We have added preliminary overview of internship for now. More details to be added soon. Subject to change. Check out here.