About the program

Goal Create compact TensorFlow Lite TFLite models that can be deployed on mobile devices for offline use specifically for agricultural pest detection and document handling tasks These models must be tiny with a file size of 10MB to facilitate easy integration into mobile applications Description The project involves developing two sets of TinyML models The first set targets the agricultural sector focusing on pest detection through image analysis The second set aims at document detection and processing including blur detection alignment correction and document type classification Agricultural Model Pest Detection Develop a TinyML model to analyze closeup images of crop leaves to determine their suitability for pest detection The model should discern whether an image is a closeup of a leaf which is essential for accurate pest detection and not an image capturing the entire plant from a distance Document Detection Support Models 1.Blurry Image Detection A TinyML model that determines if an image of a document is blurry ensuring only clear images proceed for further processing 2.Alignment Correction Design a model that corrects alignment issues in images of documents such as PAN cards transforming skewed images into correctly aligned rectangles 3.Document Type Classification Develop a TinyML model capable of classifying images into document types eg PAN card Aadhar card etc Implementation Details 1.Utilize TensorFlow Lite for model development ensuring the models are optimized for low resource consumption 2.The models should be tested extensively on diverse datasets to ensure robustness and accuracy 3.Special consideration must be given to the model architecture to maintain a balance between performance and model size with a strict size limit of 10MB Contributors are encouraged to share their progress challenges and insights through comments Collaborative efforts are highly appreciated The contribution deemed most effective and efficient will lead to further discussions and potential project assignment

Perks

1. Lucrative stipend of INR 1 lakh over a period of 3 months 2. Dedicated 1 on 1 mentorship by industry experts. 3. Hands-on experience to hone your skills 4. Access to bootcamps and expert sessions 5. Potential job extended internship opportunities 6. Opportunity to network with global open-source tech leaders

Who can apply?

Only those candidates can apply who:

1. are from Any,
2. and specialisation from Any,
3. are available for duration of 3 Months
4. have relevant skills and interests

Terms of Engagement

1. 50000 received on completion of midpoint milestone as decided with mentor 2. 50000 received on completion of final milestone as decided with mentor 3. Certificate of completion received on successful completion of internship

Number of openings

1